{"id":4129,"date":"2019-10-12T04:42:04","date_gmt":"2019-10-12T04:42:04","guid":{"rendered":"https:\/\/fei-lab.org\/?page_id=4129"},"modified":"2025-07-04T13:02:42","modified_gmt":"2025-07-04T13:02:42","slug":"publications-download","status":"publish","type":"page","link":"https:\/\/fei-lab.org\/publications-download\/","title":{"rendered":"Publications EndNote and BibTeX Download"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-k5zejukn-a7311f5d5c1471f38f7b6db7482c55c5\">\n#top .av-special-heading.av-k5zejukn-a7311f5d5c1471f38f7b6db7482c55c5{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-k5zejukn-a7311f5d5c1471f38f7b6db7482c55c5 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-k5zejukn-a7311f5d5c1471f38f7b6db7482c55c5 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-k5zejukn-a7311f5d5c1471f38f7b6db7482c55c5 av-special-heading-h3 blockquote modern-quote  avia-builder-el-0  el_before_av_textblock  avia-builder-el-first '><h3 class='av-special-heading-tag '  itemprop=\"headline\"  >Publications<\/h3><div class='av-subheading av-subheading_below'><p>Check the blocks to download BibTex and EndNote files in bulk<\/p>\n<\/div><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n<section  class='av_textblock_section av-293r7l-84d12967c0d3028fc857ec790c5fbce7 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" >\t<form method=\"post\" action=\"https:\/\/fei-lab.org\/wp-admin\/admin-post.php\">\n\t  <input type=\"hidden\" name=\"action\" value=\"pub_download_handler\">\n\t  <input type=\"hidden\" name=\"pub_download_nonce\" value=\"de2ac52f30\">\n\n\t  <!-- BUTTONS AT THE TOP -->\n\t\t<p class=\"pub-download-buttons-top\">\n\t\t  <button type=\"submit\" name=\"format\" value=\"bibtex\">Download BibTeX<\/button>\n\t\t  <button type=\"submit\" name=\"format\" value=\"endnote\">Download EndNote<\/button>\n\t\t<\/p>\n\n\t  <table class=\"pub-download-table\">\n\t  <thead>\n\t\t<tr>\n\t\t  <th>\n\t\t\t<input type=\"checkbox\" id=\"select_all_pubs\" aria-label=\"Select all publications\">\n\t\t  <\/th>\n\t\t  <th>All Publications<\/th>\n\t\t<\/tr>\n\t  <\/thead>\n\t\t<tbody>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3860\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Halicek M, Fabelo H, Ortega S, Callic\u00f3 GM, <strong>Fei BW<\/strong> (Corresponding author). <em>In-vivo<\/em> and <em>ex-vivo<\/em> tissue analysis through hyperspectral imaging techniques: Revealing the invisible featuers of cancer. Cancers;11(6).<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3865\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Abiodun-Ojo OA, Akintayo AA, Akin-Akintayo O, Tade FI, Nieh PT, Master VA, Alemozaffar M, Osunkoya AO, Goodman MM, <strong>Fei BW<\/strong> (Corresponding author). 18F-Fluciclovine parameters on targeted prostate biopsy associated with true positivity in recurrent prostate cancer. Journal of Nuclear Medicine; 60(11): 1531-1536.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"5406\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Twickler DM, Do QN, Yin Xi, Shahedi M, Dormer J, Devi TT A, Lewis MA, Spong CY, Dashe JS, Madhuranthakam A,\u00a0<strong>Fei BW\u00a0<\/strong>(Corresponding author). 228: Automated segmentation of the human placenta and uterus with MR imaging using artificial intelligence (AI). American Journal of Obstetrics &amp; Gynecology; 222(1): S158-S159.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3932\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Qin X, Wang S, Shen M, Zhang X, Lerakis S, Wagner MB, <strong>Fei BW<\/strong> (Corresponding author). 3D in vivo imaging of rat hearts by high frequency ultrasound and its application in myofiber orientation wrapping. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2015; 9419:941906. PubMed PMID:26412926.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3986\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Yang X, Akbari H, Halig L, <strong>Fei BW<\/strong> (Corresponding author). 3D non-rigid registration using surface and local salient features for transrectal ultrasound image-guided prostate biopsy. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2011; 7964:79642V. PubMed PMID:24027609.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3971\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Yang X, <strong>Fei BW<\/strong> (Corresponding author).3D prostate segmentation of ultrasound images combining longitudinal image registration and machine learning. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2012; 8316:83162O. PubMed PMID:24027622.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3989\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Akbari H, Yang X, Halig LV, <strong>Fei BW<\/strong> (Corresponding author).3D segmentation of prostate ultrasound images using wavelet transform. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2011; 7962:79622K. PubMed PMID:22468205.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3966\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Akbari H, <strong>Fei BW<\/strong> (Corresponding author). 3D ultrasound image segmentation using wavelet support vector machines, Medical Physics 2012; 39:2972-2984. (Featured by the journal cover).<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6577\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Yogananda CGB, Shah BR, Yu FF, Nalawade SS, Holcomb J, Reddy D, Wagner BC, Pinho MC, Mickey B, Patel TR, <strong>Fei B<\/strong>, Madhuranthakam AJ, Maldjian JA. 5 - Simultaneous brain tumor segmentation and molecular profiling using deep learning and T2w magnetic resonance images, Brain Tumor MRI Image Segmentation Using Deep Learning Techniques,\r\nAcademic Press, 2022, Pages 57-79.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3900\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ma L, Guo R, Zhang G, Schuster, DM, <strong>Fei BW<\/strong> (Corresponding author). \u201cA Combined Learning Algorithm for Prostate Segmentation on 3D CT Images,\" Medical Physics; 44(11): 5768-5781.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4041\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong>, Kemper C, Wilson DL. A comparative study of warping and rigid body registration for the prostate and pelvic MR volumes. Computerized Medical Imaging and Graphics 2003; 27:267-281.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6020\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Vargas J, Le P, Shahedi M, Gahan J, Johnson B, Dormer JD, Shahub S, Pfefferle M, Judson BO, Alshara Y, Li Q. A complex dual-modality kidney phantom for renal biopsy studies. Medical Imaging 2020: Ultrasonic Imaging and Tomography; 11319(113190J). International Society for Optics and Photonics,<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4010\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Li K, <strong>Fei BW<\/strong> (Corresponding author). A deformable model-based minimal path segmentation method for kidney MR images. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2008; 6914. PubMed PMID:24386528.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"8238\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Tran MH, Bryarly M, Pruitt K, Ali A, Emordi I, Jahadi A, <strong>Fei B<\/strong>. A dual-camera high-resolution hyperspectral imaging system for the retina. Proc SPIE Int Soc Opt Eng. 2025 Apr 2.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"7871\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Pruitt K, Rathgeb A, Gahan JC, Johnson BA, Strand DW, <strong>Fei B<\/strong>. A dual-camera hyperspectral laparoscopic imaging system. In Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXII 2024 Mar 12 (Vol. 12831, pp. 28-35). SPIE.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"7855\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Fraser R, Bettati P, Young J, Rathgeb A, Sirsi S, <strong>Fei B<\/strong>. A fast and interactive augmented reality system for PET\/CT-guided intervention of neuroblastoma. In Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling 2024 Mar 29 (Vol. 12928, pp. 296-303). SPIE.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6204\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><div class=\"gs_citr\" tabindex=\"0\">Yogananda CG, Shah BR, Vejdani-Jahromi M, Nalawade SS, Murugesan GK, Yu FF, Pinho MC, Wagner BC, Emblem KE, Bj\u00f8rnerud A, <strong>Fei BW<\/strong> (Corresponding author). A fully automated deep learning network for brain tumor segmentation. Tomography. 2020 Jun; 6(2):186.<\/div><\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3930\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Tian Z, Liu L, <strong>Fei BW<\/strong> (Corresponding author). A fully automatic multi-atlas based segmentation method for prostate MR images. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2015; 9413:941340. PubMed PMID:26798187.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"8434\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ma L, Chaverra I, Patwardhan C, Rudro R, Ha A, Swain S, <strong>Fei B<\/strong>. A handheld polarized hyperspectral imaging probe for tissue differentiation using spectral and polarization characteristics. Proc SPIE Int Soc Opt Eng. 2026 Apr 1;13929:1392923.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"7863\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Tran MH, Bryarly M, Pruitt K, Ma L, <strong>Fei B<\/strong>. A high-resolution hyperspectral imaging system for the retina. In Optical Biopsy XXII: Toward Real-Time Spectroscopic Imaging and Diagnosis 2024 Mar 12 (Vol. 12836, pp. 8-17). SPIE<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"8269\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Nawawithan N, Yu J, Pruitt K, <strong>Fei B<\/strong>. Novel view synthesis using neural radiance fields for laparoscopic surgery navigation. Proc SPIE Int Soc Opt Eng. 2025 Apr 7.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"7931\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Pruitt K, Johnson B, Gahan J, Ma L, <strong>Fei B<\/strong>. A high-speed hyperspectral laparoscopic imaging system. In Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling 2023 Apr 3 (Vol. 12466, pp. 49-61). SPIE.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"7879\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ma L, Pruitt K, <strong>Fei B<\/strong>. A hyperspectral surgical microscope with super-resolution reconstruction for intraoperative image guidance. In Proceedings of SPIE--the International Society for Optical Engineering 2024 Feb (Vol. 12930). NIH Public Access.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6523\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Young J, Shahedi M, Dormer JD, Johnson B, Gahan J, <strong>Fei B<\/strong>. A low-cost PVC-based dual-modality kidney phantom. In Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling 2022 Apr 4 (Vol. 12034, pp. 639-647). SPIE.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4065\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong>, Zhuang T, Bian Z, Cheng J.A method for detecting QRS waves.Beijing Biomedical Engineering 1997; 16:11-17.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3999\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Guo S, <strong>Fei BW<\/strong> (Corresponding author). A minimal path searching approach for active shape model (ASM)-based segmentation of the lung. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2009; 7259. PubMed PMID:24386531.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3925\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Pike R, Lu G, Wang D, Chen ZG, <strong>Fei BW<\/strong> (Corresponding author). A minimum spanning forest based classification method for dedicated breast CT images. Medical Physics 2015; 42:6190-202.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3941\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Pike R, Patton SK, Lu G, Halig LV, Wang D, Chen ZG, <strong>Fei BW<\/strong> (Corresponding author). A minimum spanning forest based hyperspectral image classification method for cancerous tissue detection. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2014; 9034:90341W. PubMed PMID:25426272.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3924\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Pike R, Sechopoulos I, <strong>Fei BW<\/strong> (Corresponding author). A minimum spanning forest-based method for noninvasive cancer detection wtih hyperspectral imaging. IEEE Transactions on Biomedical Engineering 2015; 63(3):653-663.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3998\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Wang H, <strong>Fei BW<\/strong> (Corresponding author). A modified fuzzy C-means classification method using a multiscale diffusion filtering scheme. Medical Image Analysis 2009; 13:193-202.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3973\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong> (Corresponding author), Schuster DM, Master V, Akbari H, Fenster A, Nieh P. A molecular image-directed, 3d ultrasound-guided biopsy system for the prostate. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2012; 831613. PubMed PMID:22708023.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3976\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong>, Schuster DM, Nieh P, Akbari H, Fenster A, Master V, A molecular image-directed, 3D ultrasound-guided biopsy system for the prostate, Edited by David R. Holmes III, Kenneth H. Wong, Proceedings of SPIE \u2013 The International Society for Optical Engineering 2012, 8316, 831613-1~8.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3896\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Sarno, A., Dance, DR., van Engen, RE., Young, KC., Russo, P., Di Lillo, F., Mettivier, G., Bliznakova, K., <strong>Fei, BW<\/strong>., Sechopoulos, I.(2017). \u201cA Monte Carlo model for mean glandular dose evaluation in spot compression mammography.\u201dMedical Physics 44(7): 3848-3860.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3991\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Yang X, <strong>Fei BW<\/strong>. An MR Brain Classification Method Based on Multiscale and Multiblock Fuzzy C-Means. The 5th International Conference on Bioinformatics and Biomedical Engineering, pp. 1-4, May 10-12, 2011.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6066\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><div class=\"gs_citr\" tabindex=\"0\">Ma L, Liu X, <strong>Fei BW<\/strong>. A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases. Medical &amp; Biological Engineering &amp; Computing; 2020:1-15.<\/div><\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3983\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Yang X, <strong>Fei BW<\/strong> (Corresponding author). A multiscale and multiblock fuzzy C-means classification method for brain MR images, Medical Physics 2011; 38:2879-2891.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4012\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Li K, <strong>Fei BW<\/strong>, A New 3D Model-based minimal path segmentation method for kidney MR images. The 2nd International Conference on Bioinformatics and Biomedical Engineering, 2342-2344, May 16-18, 2008.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3909\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Dormer JD, Jiang R, Wagner MB, <strong>Fei BW<\/strong>, A new method to quantify fiber orientation similarity in registered volumes \u201c, Proc. SPIE 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, 101361I, March 10, 2017, Orlando, FL.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6211\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><div class=\"gs_citr\" tabindex=\"0\">Yogananda CG, Shah BR, Yu FF, Pinho MC, Nalawade SS, Murugesan GK, Wagner BC, Mickey B, Patel TR, <strong>Fei BW<\/strong>, Madhuranthakam AJ. A novel fully automated MRI-based deep-learning method for classification of 1p\/19q co-deletion status in brain gliomas. Neuro-oncology advances. 2020 Jan; 2(1):vdaa066.<\/div><\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6059\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Bangalore Yogananda CG, Shah BR, Vejdani-Jahromi M, Nalawade SS, Murugesan GK, Yu FF, Pinho MC, Wagner BC, Mickey B, Patel TR, <strong>Fei BW <\/strong>(Corresponding author). A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas. Neuro-oncology; 22(3):402-11.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"7883\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ma L, Fan Q, Tian Z, Liu L, <strong>Fei B<\/strong>. A novel Residual and Gated Network for prostate segmentation on MR images. Biomedical Signal Processing and Control. 2024 Jan 1;87:105508.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3992\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong>, Master V, Nieh P, Akbari H, Yang X, Fenster A, Schuster D. A PET\/CT directed, 3D ultrasound-guided biopsy system for prostate cancer.Workshop on Prostate Cancer Imaging at the Annual Meeting of the Society of Medical Imaging Computing and Image Assisted Interventions (MICCAI), Toronto, Canada, September 18-22, 2011.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3899\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ma L, Guo R, Zhang G, <strong>Fei BW<\/strong> (Corresponding author). \u201cA random walk\u2010based segmentation framework for 3D ultrasound images of the prostate,\" Medical Physics, 2017 Jun 5. PubMed PMID:28582803.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3937\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Liu H, Wang J, Xu X, Song E, Wang Q, Jin R, Hung CC, <strong>Fei BW<\/strong> (Corresponding author). A robust and accurate center-frequency estimation (RACE) algorithm for improving motion estimation performance of SinMod on tagged cardiac MR images without known tagging parameters. Magnetic Resonance Imaging 2014; 32:1139-55.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4013\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Wang H, <strong>Fei BW<\/strong>. A robust b-splines based point match method for non-rigid surface registration. The 2nd International Conference on Bioinformatics and Biomedical Engineering, 2353-2356, May 16-18, 2008.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3871\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Shahedi M, Ma L, Halicek M, Guo R, Zhang G, Schuster DM, Nieh P, Master VA, <strong>Fei BW<\/strong> (Corresponding author). 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Computer Aided Surgery 2002; 7:257-267.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3962\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Akbari H, <strong>Fei BW<\/strong> (Corresponding author). Automatic 3D segmentation of the kidney in MR images using wavelet feature extraction and probability shape model. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2013; 8314:83143D. PubMed PMID:24027620.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3988\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Yang X, Schuster D, Master V, Nieh P, Fenster A, <strong>Fei BW<\/strong> (Corresponding author). Automatic 3D segmentation of ultrasound images using atlas registration and statistical texture prior. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2011; 7964:796432. PubMed PMID:22708024. (Cum Laude Poster Award - First Place).<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4017\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Chen X, Gilkeson RC, <strong>Fei BW<\/strong> (Corresponding author). Automatic 3D-to-2D registration for CT and dual-energy digital radiography for calcification detection. Medical Physics 2007; 34:4934-4943.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6448\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ma L, Little JV, Chen AY, Myers L, Sumer BD, <strong>Fei B<\/strong>. Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging. 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Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning. In Medical Imaging 2021: Digital Pathology 2021 Feb 15 (Vol. 11603, p. 116030Q). International Society for Optics and Photonics.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4020\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Chen X, Gilkeson R, <strong>Fei BW<\/strong> (Corresponding author). Automatic intensity-based 3D-to-2D registration of CT volume and dual-energy digital radiography for the detection of cardiac calcification. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2007; 6512. 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The 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Proceedings of IEEE 2003;1:592-594.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4021\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong>, Azar N, Greer M, Rochon PJ, Faulhaber PP. Automatic registration and fusion of ultrasound imaging and positron emission tomography (PET) for improved diagnosis of gynecologic cancer. The American Institute of Ultrasound in Medicine 2007 Convention, New York, NY, March 15-18, 2007.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4024\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong> (Corresponding author), Chen X, Wang H, Sabol JM, DuPont E, Gilkeson RC. Automatic registration of CT volumes and dual-energy digital radiography for detection of cardiac and lung diseases. Proceedings of IEEE Engineering in Medicine and Biology Society 2006; 1:1976-9. PubMed PMID:17945687.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3961\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Qin X, Cong Z, Halig LV, <strong>Fei BW<\/strong> (Corresponding author). Automatic segmentation of right ventricle on ultrasound images using sparse matrix transform and level set. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2013; 8669. PubMed PMID:24236228.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3956\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Qin X, Cong Z, <strong>Fei BW<\/strong> (Corresponding author). Automatic segmentation of right ventricular ultrasound images using sparse matrix transform and a level set. Physics in Medicine and Biology 2013; 58:7609-24.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3911\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ma L, Guo R, Zhang G, Tade F, Schuster DM, <strong>Fei BW<\/strong>, Automatic segmentation of the prostate on CT images using deep learning and multi-atlas fusion, Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 101332O, February 24, 2017, Orlando, FL.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6413\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Tao L, Ma L, Xie M, Liu X, Tian Z, <strong>Fei B<\/strong>. Automatic segmentation of the prostate on MR images based on anatomy and deep learning. In Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling 2021 Feb 15 (Vol. 11598, p. 115981N). International Society for Optics and Photonics.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6488\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Shahedi M, Dormer JD, Do QN, Xi Y, Lewis MA, Herrera CL, Spong CY, Madhuranthakam AJ, Twickler DM, <strong>Fei B<\/strong>. Automatic segmentation of uterine cavity and placenta on MR Images using deep learning. In Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 Apr 4 (Vol. 12036, pp. 287-293). SPIE.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3985\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Yang X, Sechopoulos I, <strong>Fei BW<\/strong> (Corresponding author). Automatic tissue classification for high-resolution breast CT images based on bilateral filtering. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2011; 7962:79623H. PubMed PMID:24027608.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6438\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ayala L, Isensee F, Wirkert SJ, Vemuri AS, Maier-Hein KH, <strong>Fei B<\/strong>, Maier-Hein L. Band selection for oxygenation estimation with multispectral\/hyperspectral imaging. Biomedical Optics Express. 2022 Mar 1;13(3):1224-42.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3959\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Halig LV, Wang D, Wang AY, Chen ZG, <strong>Fei BW<\/strong> (Corresponding author).Biodistribution study of nanoparticle encapsulated photodynamic therapy drugs using multispectral imaging. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2013; 8672. PubMed PMID:24236230.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4005\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ciancibello L, Gilkeson RC, <strong>Fei BW<\/strong>.Bismuth breast shielding and its effect on calcium score and dose. The 109th Annual Meeting of the American-Roentgen-Ray-Society, Boston, MA, April 27-May 01, 2009, American Journal of Roentgenology 2009:192(5).<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6443\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Nalawade SS, Fang FY, Yogananda CG, Murugesan GK, Shah BR, Pinho MC, Wagner BC, Xi Y, Mickey B, Patel TR,<strong> Fei B<\/strong>. Brain tumor IDH, 1p\/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction. Journal of Medical Imaging. 2022 Jan;9(1):016001.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6115\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><div class=\"gs_citr\" tabindex=\"0\">Nalawade S, Fang FY, Yogananda CG, Murugesan GK, Shah BR, Pinho MC, Wagner BC, Mickey B, Patel TR, <strong>Fei BW<\/strong>, Madhuranthakam AJ, Maldjian JA. Brain tumor IDH, 1p\/19q, and MGMT molecular classification using MRI-based deep learning: effect of motion and motion correction. bioRxiv 2020.<\/div><\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3942\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Qin X, Lu G, Sechopoulos I, <strong>Fei BW<\/strong> (Corresponding author).Breast tissue classification in digital tomosynthesis images based on global gradient minimization and texture features. 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Hyperspectral imaging for head and neck cancer detection: specular glare and variance of the tumor margin in surgical specimens. Journal of Medical Imaging;6(3):035004.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6127\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><div class=\"gs_citr\" tabindex=\"0\">Ortega S, Halicek M, Fabelo H, Camacho R, Plaza MD, Godtliebsen F, M Callic\u00f3 G, <strong>Fei BW <\/strong>(Corresponding author). Hyperspectral imaging for the detection of glioblastoma tumor cells in H&amp;E slides using convolutional neural networks. Sensors; 20(7):1911.<\/div><\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3891\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong>. \"Hyperspectral Imaging in Medical Applications.\" In <em>Hyperspectral Imaging (Data Handling in Science and Technology)<\/em>, edited by Jos\u00e9 Manuel Amigo. New Cambridge, MA: Elsevier,<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"5410\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong>. Hyperspectral imaging in medical applications. Data Handling in Science and Technology; 32: 523-565. 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Proc SPIE Int Soc Opt Eng. 2026 Apr 1;13927:139271C.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3916\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Lu G, Qin X, Wang D, Muller S, Zhang H, Chen A, Chen ZG, <strong>Fei BW<\/strong> (Corresponding author). Hyperspectral imaging of neoplastic progression in a mouse model of oral carcinogenesis. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2016; 9788:978812. PubMed PMID:27656034.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"5966\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ma L, Halicek M, Zhou X, Dormer J, <strong>Fei BW <\/strong>(Corresponding author). Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning. Medical Imaging 2020: Digital Pathology; 11320(113200W). International Society for Optics and Photonics,<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6391\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ma L, Zhou X, Little JV, Chen AY, Myers LL, Sumer BD, <strong>Fei B<\/strong>. Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides. In Medical Imaging 2021: Digital Pathology 2021 Feb 15 (Vol. 11603, p. 116030P). International Society for Optics and Photonics.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"8343\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ma L, <strong>Fei B<\/strong>. Hyperspectral microscopic imaging in cancer research. Spectroscopic Techniques for Cancer Diagnostics. 2025 Dec.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6508\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Pathour T, Akter N, Dormer JD, Chaudhary S, <strong>Fei B<\/strong>, Sirsi S. Identifying unique acoustic signatures from chemically-crosslinked microbubble clusters using deep learning. In Medical Imaging 2022: Ultrasonic Imaging and Tomography 2022 Apr 4 (Vol. 12038, pp. 128-136). SPIE.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"5956\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Dormer J, Bhuiyan M, Rahman N, Deaton N, Sheng J, Padala M, Desai J, <strong>Fei BW <\/strong>(Corresponding author). Image guided mitral valve replacement: registration of 3D ultrasound and 2D x-ray images. Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling; 11315(113150Z). International Society for Optics and Photonics,<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4044\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong>, Lee Z, Boll DT, Duerk JL, Lewin JS, Wilson DL. Image registration and fusion for interventional MRI-guided thermal ablation of the prostate cancer. The Sixth Annual International Conference on Medical Imaging Computing &amp; Computer Assisted Intervention. 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The Second International Workshop on Biomedical Image Registration, Philadelphia, PA, June 23-24, 2003, Lecture Notes in Computer Science (LNCS) 2003; 2717:321-329, Springer-Verlag Berlin Heidelberg.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4030\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong> (Corresponding author), Flask C, Wang H, Pi A, Wilson D, Shillingford J, Murcia N, Weimbs T, Duerk J. Image segmentation, registration and visualization of serial MR images for therapeutic assessment of polycystic kidney disease in transgenic mice. Proceedings of IEEE Engineering in Medicine and Biology Society 2005; 1:467-9. 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Heart failure reviews;23(2):273-289.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6087\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><div class=\"gs_citr\" tabindex=\"0\">Ma L, Halicek M, <strong>Fei BW<\/strong>. In vivo cancer detection in animal model using hyperspectral image classification with wavelet feature extraction. Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging; 11317(113171C). International Society for Optics and Photonics,<\/div><\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4018\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong> (Corresponding author), Wang H, Chen X, Meyers J, Mulvihill J, Feyes D, Edgehouse N, Duerk JL, Pretlow TG, Oleinick NL.<em>In vivo<\/em> small animal imaging for early assessment of therapeutic efficacy of photodynamic therapy for prostate cancer. Proceedings of SPIE \u2013 The International Society for Optical Engineering 2007; 6511. PubMed PMID:24386525.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6051\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Shahedi M, Halicek M, Dormer JD, <strong>Fei BW <\/strong>(Corresponding author). Incorporating minimal user input into deep learning based image segmentation. Medical Imaging 2020: Image Processing; 11313(1131313). International Society for Optics and Photonics,<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3981\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong>, Schuster DM, Master V, Nieh P, Incorporating PET\/CT images into 3D ultrasound-guided biopsy of the prostate. 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Journal of Engineering and Science in Medical Diagnostics and Therapy. 2024 Sep 30.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6333\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ortega S, Halicek M, Fabelo H, Quevedo E, <strong>Fei B<\/strong>, Callico GM. Information Extraction Techniques in Hyperspectral Imaging Biomedical Applications. InMultimedia Information Retrieval 2020 Oct 10. IntechOpen.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4006\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Hwang MJ, Bebek O, Liang F, <strong>Fei BW<\/strong>, Cavusoglu MC. Kinematic calibration of a parallel robot for small animal biopsies. IEEE\/RSJ International Conference on Intelligent Robots and Systems, Proceedings of IEEE 2009;4104-4109.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3842\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong>, Lu G, Halicek M, Wang X, Zhang HZ, Little JV, Magliocca K, Patel MR, Griffith CC, El-Diery MW. Label-free hyperspectral imaging and quantification methods for surgical margin assessment of tissue specimens of cancer patients. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC):4041-4045.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"7901\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Gao L, <strong>Fei B<\/strong>, inventors; University of California, University of Texas System, assignee. Label-free real-time hyperspectral endoscopy for molecular-guided cancer surgery. United States patent. US 20230125377A1. 2023 Apr 27.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3841\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong>, Lu G, Wang X, Zhang HZ, Little JV, Patel MR, Griffith CC, El-Diery MW, Chen AY. Label-free reflectance hyperspectral imaging for tumor margin assessment: a pilot study on surgical specimens of cancer patients. Journal of Biomedical Optics;22(8):086009.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3838\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Halicek M, Dormer J, Pham M, Little JV, Chen AY, Myers L, Sumer BD, <strong>Fei BW<\/strong> (Corresponding author). Label-Free, Noncontact Hyperspectral Imaging for Classification of Histologic Grade in Gross Specimens of Squamous Cell Carcinoma Using Deep Learning. Medical Physics;46(6):E462-E463.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3904\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ma L, Liu X, <strong>Fei BW<\/strong> (Corresponding author). Learning with distribution of optimized features for recognizing common CT imaging signs of lung diseases, Physics in Medicine and Biology 2017, 62:612-632.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6457\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Modir N, Shahedi M, Dormer J, Ma L, Ghaderi M, Sirsi S, Cheng YS, <strong>Fei B<\/strong>. LED-based hyperspectral endoscopic imaging. In Optical Biopsy XX: Toward Real-Time Spectroscopic Imaging and Diagnosis 2022 Mar 2 (Vol. 11954, pp. 47-58). SPIE.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"8425\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Li T, Modir N, <strong>Fei B<\/strong>. LED-based hyperspectral endoscopic imaging: optical simulation-guided illumination optimization. Proc SPIE Int Soc Opt Eng. 2026 Apr 1;13927:1392720.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"8293\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Modir N, Shahedi M, Dormer J, Ma L, <strong>Fei B<\/strong>. LED-based, real-time, hyperspectral imaging device. Journal of Medical Imaging. 2025 Jun 12.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6832\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>MacDonald TJ, Liu J, Yu B, Malhotra A, Munson J, Park JC, Wang K, <strong>Fei B<\/strong>, Bellamkonda R, Arbiser J. Liposome-imipramine blue inhibits sonic hedgehog medulloblastoma in vivo. Cancers. 2021 Mar 11;13(6):1220.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"7891\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Herrera CL, Wang Y, Udayakumar D, Xi Y, Do QN, Lewis MA, Owen DM, <strong>Fei B<\/strong>, Spong CY, Twickler DM, Madhuranthakam AJ. Longitudinal placental perfusion in normal and hypertensive pregnancies using pseudo-continuous arterial spin labeled MRI. European Radiology. 2023 Dec;33(12):9223-9232.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"7915\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Hao K, Cai A, Feng X, Ma L, Zhu J, Wang M, Zhang Y, <strong>Fei B<\/strong>. Lung nodule false positive reduction using a central attention convolutional neural network on imbalanced data. In Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling 2023 Apr 3 (Vol. 12466, pp. 459-465). SPIE.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"7875\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Do QN, Herrera CL, Rosenthal EA, Xi Y, Uddin N, Lewis MA, <strong>Fei B<\/strong>, Spong CY, Twickler DM. Magnetic resonance imaging improves specificity of placenta accreta spectrum requiring hysterectomy compared to ultrasound. 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Proceedings of SPIE \u2013 The International Society for Optical Engineering 2014; 9036:90361O. PubMed PMID:25328641.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"8265\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Pruitt K, Pasupuleti H, Yu J, DeAtley W, <strong>Fei B<\/strong>. Masked image modeling in medical hyperspectral imaging: reconstruction evaluation and downstream tasks. Proc SPIE Int Soc Opt Eng. 2025 Apr 4.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3938\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Qin X, <strong>Fei BW<\/strong> (Corresponding author). Measuring myofiber orientations from high-frequency ultrasound images using multiscale decompositions. 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Michael Fitzpatrick, Proceedings of SPIE \u2013 The International Society for Optical Engineering 2002;4684:528-537.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6493\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Tran MH, Ma L, Litter JV, Chen AY, <strong>Fei B<\/strong>. Thyroid carcinoma detection on whole histologic slides using hyperspectral imaging and deep learning. In Medical Imaging 2022: Digital and Computational Pathology 2022 Apr 4 (Vol. 12039, pp. 101-111). SPIE.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"8461\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Rudro RJ, Ma L, Pruitt K, <strong>Fei B<\/strong>. TinyScope: lightweight hyperspectral tissue classification using TinyML inference on a single-board computer. Proc SPIE Int Soc Opt Eng. 2026 Apr 2;13930:1393014.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"7935\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Huang J, Shahedi M, Do QN, Xi Y, Lewis MA, Herrera CL, Owen D, Spong CY, Madhuranthakam AJ, Twickler DM, <strong>Fei B<\/strong>. Topography-based feature extraction of the human placenta from prenatal MR images. In Medical Imaging 2023: Image Processing 2023 Apr 3 (Vol. 12464, pp. 460-469). SPIE.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"8315\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Zenk M, Baid U, Pati S, Linardos A, Edwards B, Sheller M, Foley P, Aristizabal A, Zimmerer D, Gruzdev A, Martin J, Shinohara RT, Reinke A, Isensee F, Parampottupadam S, Parekh K, Floca R, Kassem H, Baheti B, Thakur S, Chung V, Kushibar K, Lekadir K, Jiang M, Yin Y, Yang H, Liu Q, Chen C, Dou Q, Heng PA, Zhang X, Zhang S, Khan MI, Azeem MA, Jafaritadi M, Alhoniemi E, Kontio E, Khan SA, M\u00e4chler L, Ezhov I, Kofler F, Shit S, Paetzold JC, Loehr T, Wiestler B, Peiris H, Pawar K, Zhong S, Chen Z, Hayat M, Egan G, Harandi M, Polat EI, Polat G, Kocyigit A, Temizel A, Tuladhar A, Tyagi L, Souza R, Forkert ND, Mouches P, Wilms M, Shambhat V, Maurya A, Danannavar SS, Kalla R, Anand VK, Krishnamurthi G, Nalawade S, Ganesh C, Wagner B, Reddy D, Das Y, Yu FF, <strong>Fei B<\/strong>, Madhuranthakam AJ, Maldjian J, Singh G, Ren J, Zhang W, An N, Hu Q, Zhang Y, Zhou Y, Siomos V, Tarroni G, Passerrat-Palmbach J, Rawat A, Zizzo G, Kadhe SR, Epperlein JP, Braghin S, Wang Y, Kanagavelu R, Wei Q, Yang Y, Liu Y, Kotowski K, Adamski S, Machura B, Malara W, Zarudzki L, Nalepa J, Shi Y, Gao H, Avestimehr S, Yan Y, Akbar AS, Kondrateva E, Yang H, Li Z, Wu HY, Roth J, Saueressig C, Milesi A, Nguyen QD, Gruenhagen NJ, Huang TM, Ma J, Singh HSH, Pan NY, Zhang D, Zeineldin RA, Futrega M, Yuan Y, Conte GM, Feng X, Pham QD, Xia Y, Jiang Z, Luu HM, Dobko M, Carr\u00e9 A, Tuchinov B, Mohy-Ud-Din H, Alam S, Singh A, Shah N, Wang W, Sako C, Bilello M, Ghodasara S, Mohan S, Davatzikos C, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Hess C, Mongan J, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Huang RY, Chang K, To MS, Bhardwaj S, Chong C, Agzarian M, Kozubek M, Lux F, Mich\u00e1lek J, Matula P, Kerkovsk\u00fd M, Koprivov\u00e1 T, Dost\u00e1l M, Vyb\u00edhal V, Pinho MC, Holcomb J, Metz M, Jain R, Lee MD, Lui YW, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Colen RR, Kotrotsou A, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Bendszus M, Wick W, Mahajan A, Bala\u00f1a C, Capellades J, Puig J, Choi YS, Lee SK, Chang JH, Ahn SS, Shaykh HF, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, G\u00f3mez J, LaMontagne P, Marcus DS, Milchenko M, Nazeri A, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Garrett J, Larson M, Jeraj R, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Sharma S, Tseng TC, Adabi S, Falc\u00e3o AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, Niclou SP, Keunen O, Hau AC, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Guevara P, Torche E, Mendoza C, Vera F, R\u00edos E, L\u00f3pez E, Velastin SA, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Luo B, Poisson LM, Wen N, Valli\u00e8res M, Loutfi MAL, Fortin D, Lepage M, Mor\u00f3n F, Mandel J, Shukla G, Liem S, Alexandre GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Ogbole G, Oyekunle D, Odafe-Oyibotha O, Osobu B, Hikima MS, Soneye M, Dako F, Dorcas A, Murcia D, Fu E, Haas R, Thompson JA, Ormond DR, Currie S, Fatania K, Frood R, Simpson AL, Peoples JJ, Hu R, Cutler D, Moraes FY, Tran A, Hamghalam M, Boss MA, Gimpel J, Veettil DK, Schmidt K, Cimino L, Price C, Bialecki B, Marella S, Apgar C, Jakab A, Weber MA, Colak E, Kleesiek J, Freymann JB, Kirby JS, Maier-Hein L, Albrecht J, Mattson P, Karargyris A, Shah P, Menze B, Maier-Hein K, Bakas S. Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge. Nature Communications. 2025 Jul 8.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6073\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><div class=\"gs_citr\" tabindex=\"0\">Halicek M, Dormer JD, Little JV, Chen AY, <strong>Fei BW <\/strong>(Corresponding author). Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning. Biomedical Optics Express; 11(3):1383-400.<\/div><\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3905\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong>, Lu G, Wang X, Zhang H, Little JV, Magliocca KR, Chen AY, Tumor margin assessment of surgical tissue specimen of cancer patients using label-free hyperspectral imaging, Proc. SPIE 10054, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV, 100540E, February 14, 2017, San Francisco, CA.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3880\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Halicek M, Little JV, Wang X, Patel M, Griffith CC, Chen AY, <strong>Fei BW<\/strong> (Corresponding author). Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks. Proceedings of SPIE: The International Society for Optical Engineering;10576.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"7959\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Selim M, Zhang J, <strong>Fei B<\/strong>, Lewis M, Zhang GQ, Chen J. UDA-CT: A general framework for CT image standardization. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022 Dec 6 (pp. 1698-1701). IEEE.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3882\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Guo R, Lu G, Qin B, <strong>Fei BW<\/strong>. Ultrasound imaging technologies for breast cancer detection and management: A review. Ultrasound in Medicine and Biology;44(1):37-70.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3885\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Dormer JD, Guo R, Shen M, Jiang R, Wagner MB, <strong>Fei BW<\/strong> (Corresponding author). Ultrasound segmentation of rat hearts using convolutional neural networks. Proceedings of SPIE: The International Society for Optical Engineering;10580.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6483\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ma L, Rathgeb A, Tran M, <strong>Fei B<\/strong>. Unsupervised super resolution network for hyperspectral histologic imaging. In Medical Imaging 2022: Digital and Computational Pathology 2022 Apr 4 (Vol. 12039, pp. 149-159). SPIE.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6821\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ma L, Rathgeb A, Mubarak H, Tran M, <strong>Fei B<\/strong>. Unsupervised super-resolution reconstruction of hyperspectral histology images for whole-slide imaging. Journal of biomedical optics. 2022 May 1;27(5):056502-.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6042\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Mavuduru A, Halicek M, Shahedi M, Little JV, Chen AY, Myers LL, <strong>Fei BW<\/strong> (Corresponding author). Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images. Medical Imaging 2020: Digital Pathology; 11320(113200C). International Society for Optics and Photonics,<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3886\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Dormer J, Reilly CM, Schreibmann E, <strong>Fei BW<\/strong> (Corresponding author). Using convolutional neural networks to identify patients at risk for cardiovascular disease using 3D patches radiomic analysis for cardiovascular disease prediciton using wavelet features. The Annual Meeting of the Biomedical Engineering Society.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"8234\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Sherey JC, Ma L, Ha AM, Lane C, <strong>Fei B<\/strong>. Validation of a handheld polarized hyperspectral imaging probe on intralipid phantom and mouse tissue. Proc SPIE Int Soc Opt Eng. 2025 Mar 19.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"8413\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Ma L, Ha A, Cheverra I, Yuan M, Swain S, <strong>Fei B<\/strong>. Validation of a polarized hyperspectral imaging (PHSI) probe using phantoms and biological tissues. Proc SPIE Int Soc Opt Eng. 2026 Mar 4;13854:138540I.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"6343\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Bettati P, Dormer JD, Young J, Shahedi M, <strong>Fei B<\/strong>. Virtual reality assisted cardiac catheterization. In Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling 2021 Feb 15 (Vol. 11598, p. 115982D). International Society for Optics and Photonics.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"8323\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Saberigarakani A, Patel RP, Almasian M, Zhang X, Brewer J, Hassan SS, Chai J, Lee J, <strong>Fei B<\/strong>, Yuan J, Carroll K, Ding Y. Volumetric imaging and computation to explore contractile function in zebrafish hearts. Cell Reports Methods. 2025 Aug 18.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"3848\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td>Sechopoulos I, <strong>Fei BW<\/strong>, Bliznakova K. WE\u2010G\u2010103\u201005: Spatial Frequency Characterization of the X\u2010Ray Scatter Signal in Breast Imaging. Medical Physics;40(6Part31):510.<\/td>\n\t\t  <\/tr>\n\t\t\t\t  <tr>\n\t\t\t<td>\n\t\t\t  <label>\n\t\t\t  \t<input type=\"checkbox\" class=\"pub-select\" name=\"pub_ids[]\" value=\"4059\">\n\t\t\t  <\/label>\n\t\t\t<\/td>\n\t\t\t<td><strong>Fei BW<\/strong>, Ng WS, Kwoh CK. X-ray localization technique for total hip replacement operation in augmented reality for therapy (ART). The First Joint Conference of the 21st Annual Conference of IEEE BMES\/EMBS and the Annual Fall Meeting of the Biomedical Engineering Society, Proceedings of IEEE 1999;1:649.<\/td>\n\t\t  <\/tr>\n\t\t\t\t<\/tbody>\n\t  <\/table>\n\n\t  <p>\n\t\t<button type=\"submit\" name=\"format\" value=\"bibtex\">Download BibTeX<\/button>\n\t\t<button type=\"submit\" name=\"format\" value=\"endnote\">Download EndNote<\/button>\n\t  <\/p>\n\t<\/form>\n\t\n<script>\n\tdocument.addEventListener('DOMContentLoaded', function(){\n\t  var selectAll = document.getElementById('select_all_pubs');\n\t  var checkboxes = document.querySelectorAll('.pub-select');\n\t\n\t  selectAll.addEventListener('change', function(){\n\t\tcheckboxes.forEach(function(cb){\n\t\t  cb.checked = selectAll.checked;\n\t\t});\n\t  });\n\t\n\t  checkboxes.forEach(function(cb){\n\t\tcb.addEventListener('change', function(){\n\t\t  if (!cb.checked) {\n\t\t\tselectAll.checked = false;\n\t\t  } else if ( Array.from(checkboxes).every(ch => ch.checked) ) {\n\t\t\tselectAll.checked = true;\n\t\t  }\n\t\t});\n\t  });\n\t});\n\t<\/script>\n\n\t\n<\/div><\/section>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-4129","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Publications EndNote and BibTeX Download &#8226; 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