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ORCIDFan Zhang 0013
Person information
- affiliation: University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
- affiliation: Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
- affiliation (PhD 2016): University of Sydney, School of Information Technologies, Biomedical and Multimedia Information Technology (BMIT) Research Group, NSW, Australia
Other persons with the same name
- Fan Zhang — disambiguation page
- Fan Zhang 0001 — University of Ottawa, School of Information Technology and Engineering, Canada
- Fan Zhang 0002
![[0000-0003-0609-0548]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0609-0548")
— Wuhan University of Technology, School of Information Engineering, China - Fan Zhang 0003 — Massachusetts Institute of Technology, Kavli Institute for Astrophysics and Space Research, Cambridge, MA, USA (and 3 more)
- Fan Zhang 0004 — Rutgers University, NSF Cloud and Autonomic Computing Center, Piscataway, NJ, USA
- Fan Zhang 0005 — Simon Fraser University, Faculty of Education, Burnaby, BC, Canada
- Fan Zhang 0006 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, China
- Fan Zhang 0007 — Beijing University of Chemical Technology, College of Information Science and Technology, China (and 1 more)
- Fan Zhang 0008 — University of North Texas Health Science Center, Fort Worth, TX, USA
- Fan Zhang 0009 — Yale University, Biomedical Engineering, New Haven, CT, USA
- Fan Zhang 0010 — Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China (and 1 more)
- Fan Zhang 0011 — Hong Kong University of Science and Technology (and 3 more)
- Fan Zhang 0012 — Beijing Jiaotong University, School of Electronics and Information Engineering, China
- Fan Zhang 0014 — Hohai University, College of Internet of Things Engineering, Changzhou, China
- Fan Zhang 0015 — North Carolina State University, UNC/NCSU Joint Department of Biomedical Engineering, Raleigh, NC, USA (and 1 more)
- Fan Zhang 0016 — Huawei Technologies, Co. Ltd., Theory Lab, Hong Kong (and 1 more)
- Fan Zhang 0017 — University of Bristol, Bristol Vision Institute, UK
- Fan Zhang 0018 — Ningbo University, Faculty of Electrical Engineering and Computer Science, China
- Fan Zhang 0019 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China (and 3 more)
- Fan Zhang 0020 — Chinese Academy of Sciences, Institute of Tibetan Plateau Research, Beijing, China (and 2 more)
- Fan Zhang 0021 — Beijing University of Technology, Faculty of Information Technology, China
- Fan Zhang 0022 — Yale University, New Haven, CT USA (and 1 more)
- Fan Zhang 0023 — Tongji University, Shanghai, China
- Fan Zhang 0024 — Huazhong University of Science and Technology, School of Computer Science and Technology, Big Data Technology and System Lab / Cluster and Grid Computing Lab / Services Computing Technology and System Lab, Wuhan, China
- Fan Zhang 0025 — KTH, Stockholm, Sweden (and 1 more)
- Fan Zhang 0026 — Technical University Munich, Germany
- Fan Zhang 0027 — Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- Fan Zhang 0028 — Henan University, School of Computer and Information Engineering / Institute of Image Processing and Pattern Recognition, Kaifeng, China
- Fan Zhang 0029 — Southeast University, MOE Key Laboratory of Energy Thermal Conversion and Control, Nanjing, China
- Fan Zhang 0030 — Imperial College London, Department of Electrical and Electronic Engineering, Personal Robotics Laboratory, UK
- Fan Zhang 0031 — Northwestern Polytechnical University, School of Astronautics, Research Center for Intelligent Robotics, National Key Laboratory of Aerospace Flight Dynamics, Xi'an, China
- Fan Zhang 0032 — Sun Yat-sen University, School of Aeronautics and Astronautics, Guangzhou, China (and 1 more)
- Fan Zhang 0033 — Katholieke Universiteit Leuven, Department of Mathematics, Belgium (and 2 more)
- Fan Zhang 0034 — University of Tennessee, Department of Nuclear Engineering, Knoxville, TN, USA
- Fan Zhang 0035 — Chang'an University, School of Automobile, Xi'an, China
- Fan Zhang 0036 — Guangzhou University, China (and 2 more)
- Fan Zhang 0037 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- Fan Zhang 0038 — Shandong Management University, School of Information Engineering, Jinan, China (and 1 more)
- Fan Zhang 0039 — Cork Institute of Technology, Department of Process, Energy and Transport Engineering, Ireland
- Fan Zhang 0040 — University of Electronic Science and Technology of China, School of Physics, Chengdu, China
- Fan Zhang 0041 — Xidian University, School of Artificial Intelligence, Joint International Research Laboratory of Intelligent Perception and Computation, Xi'an, China
- Fan Zhang 0042 — University of Science and Technology Beijing, School of Computer and Communication Engineering, China
- Fan Zhang 0043 — Peking University, College of Engineering, BIC-ESAT, Beijing, China (and 1 more)
- Fan Zhang 0044 — National Digital Switching System Engineering and Technological Research and Development Center, Department of Integrative Design, Zhengzhou, China
- Fan Zhang 0045 — Shandong Technology and Business University, School of Computer Science and Technology, Yantai, China (and 1 more)
- Fan Zhang 0046 — Guizhou University, MoE Key Laboratory of Advanced Manufacturing Technology, Guiyang, China
- Fan Zhang 0047 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, Beijing, China
- Fan Zhang 0048 — Louisiana State University Agricultural Center, School of Renewable Natural Resources, Baton Rouge, LA, USA
- Fan Zhang 0049 — University of Washington, Seattle, WA, USA
- Fan Zhang 0050 — Peking University, Institute of Computer Science and Technology, Beijing, China
- Fan Zhang 0051 — Zhejiang University of Technology, College of Computer Science, China
- Fan Zhang 0052 — China National Institute of Standardization, Center for Quality and Statistics, Beijing, China
- Fan Zhang 0053 — Wuhan University, School of Information Management, Wuhan, China (and 1 more)
- Fan Zhang 0054 — Shaanxi Normal University, International Business School, Xi'an, China (and 1 more)
- Fan Zhang 0055 — Chinese Academy of Agricultural Sciences, Institute of Animal Sciences, Beijing, China
- Fan Zhang 0056 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China
- Fan Zhang 0057 — China University of Mining and Technology, School of Mechanical Electronic and Information Engineering, Beijing, China (and 1 more)
- Fan Zhang 0058 — Beijing Institute of Technology, School of Information and Electronics, Key Laboratory of Electronic and Information Technology in Satellite Navigation, Radar Research Laboratory, Beijing, China
- Fan Zhang 0059 — Stanford University, Management Science and Engineering, Stanford, CA, USA
- Fan Zhang 0060 — ShanghaiTech University, School of Information Science and Technology, Shanghai, China
- Fan Zhang 0061 — Tsinghua University, Department of Engineering Mechanics, Center for Flexible Electronics Technology, Beijing, China
- Fan Zhang 0062 — Beijing Normal University, College of Artificial Intelligence, Beijing, China
- Fan Zhang 0063 — Jiangnan University, School of Artificial Intelligence and Computer Science, Wuxi, China
- Fan Zhang 0064 — Xi'an Jiaotong University, State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an, China (and 1 more)
- Fan Zhang 0065 — Northeastern University, College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- Fan Zhang 0066 — Hangzhou Dianzi University, College of Automation, Hangzhou, China
- Fan Zhang 0067 — University of Texas at Dallas, Department of Electrical and Computer Engineering, Richardson, TX, USA
- Fan Zhang 0068 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
- Fan Zhang 0069 — Arizona State University, School of Electrical, Computer and Energy Engineering, Tempe, AZ, USA (and 1 more)
- Fan Zhang 0070 — Northwestern Polytechnical University, School of Automation, Xi'an, China
- Fan Zhang 0071 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Fan Zhang 0072 — East China Normal University, Software Engineering Institute, Shanghai, China
- Fan Zhang 0073 — Tsinghua University, Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Beijing, China
- Fan Zhang 0075 — China University of Mining and Technology, Institute of Land Reclamation and Ecological Restoration, Beijing, China
- Fan Zhang 0076 — Beijing Normal University, School of Environment, State Key Laboratory of Water Environment Simulation, Beijing, China
- Fan Zhang 0077 — Waterford Institute of Technology, Telecommunications Software & Systems Group, Waterford, Ireland
- Fan Zhang 0078 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China
- Fan Zhang 0079 — University of Petroleum (East China), Department of Physical Education, Qingdao, China
- Fan Zhang 0080 — Peking University, Department of Electronics, State Key Laboratory of Advanced Optical Communication System and Networks, Beijing, China
- Fan Zhang 0081 — Peking University, College of Engineering, Department of Industrial Engineering and Management, Beijing, China
- Fan Zhang 0082 — Information Engineering University, Zhengzhou, China
- Fan Zhang 0083 — Fuzhou University, College of Mathematics and Computer Science, Key Laboratory of Spatial Data Mining & Information Sharing, Fuzhou, China
- Fan Zhang 0084 — Sichuan University, College of Computer Science, Chengdu, China
- Fan Zhang 0085 — Chinese University of Hong Kong, Department of Medicine and Therapeutics, Hong Kong
- Fan Zhang 0086 — Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Fan Zhang 0087 — Harbin Institute of Technology, School of Mechanical Engineering and Automation, Shenzhen, China
- Fan Zhang 0088 — Tsinghua University, School of Aerospace Engineering, Beijing, China
- Fan Zhang 0089 — Nanyang Technological University, School of Computer Engineering, Biomedical Informatics Graduate Lab, Singapore
- Fan Zhang 0090 — BGI-Shenzhen, China (and 1 more)
- Fan Zhang 0091 — China University of Mining and Technology, School of MEIE, Beijing, China
- Fan Zhang 0092 — Nankai University, College of Information Technical Science, Baidu Joint Laboratory, Tianjin, China
- Fan Zhang 0093 — Lenovo Group Ltd, Image and Visual Computing Lab, Hong Kong (and 4 more)
- Fan Zhang 0094 — Southwest University, College of Computer and Information Science & College of Software, Chongqing, China
- Fan Zhang 0095 — University of Pittsburgh, PA, USA
- Fan Zhang 0096 — Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX, USA
- Fan Zhang 0097 — Hong Kong University of Science and Technology, Department of Computer Science, Hong Kong
- Fan Zhang 0098 — DiDi AI Labs, Beijing, China
- Fan Zhang 0099 — Northwestern Polytechnical University, School of Computer Science and Engineering, Xi'an, China
- Fan Zhang 0100 — Beijing University of Technology, College of Computer Science, Beijing, China
- Fan Zhang 0101 — Brunel University London, Department of Electronic and Computer Engineering, London, UK
- Fan Zhang 0102 — Lanzhou University, School of Information Science and Engineering, Lanzhou, China (and 1 more)
- Fan Zhang 0103 — Harbin Engineering University College of Intelligent Systems Science and Engineering, Harbin, China (and 1 more)
- Fan Zhang 0104 — Zhejiang University, Hangzhou, China
- Fan Zhang 0105 — Communication University of Zhejiang, Intelligent Media Institute, Hangzhou, China (and 2 more)
- Fan Zhang 0106 — Central South University, School of Automation, Changsha, China (and 1 more)
- Fan Zhang 0108 — Southwest Jiaotong University, School of Computing and Artificial Intelligence, Chengdu (and 1 more)
- Fan Zhang 0109 — Beijing Institute of Petrochemical Technology, College of Information Engineering, China
- Fan Zhang 0110 — Nanjing Forest Police College, China
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Books and Theses
- 2016
[b1]Fan Zhang:
Content-based Medical Image Classification and Retrieval. University of Sydney, Australia, 2016
Journal Articles
- 2024
- [j28]Yuqian Chen, Leo R. Zekelman, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. Medical Image Anal. 94: 103120 (2024) - [j27]Di Zhang, Fangrong Zong, Qichen Zhang, Yunhui Yue, Fan Zhang, Kun Zhao, Dawei Wang, Pan Wang, Xi Zhang, Yong Liu:
Anat-SFSeg: Anatomically-guided superficial fiber segmentation with point-cloud deep learning. Medical Image Anal. 95: 103165 (2024) - [j26]Fan Zhang, Kang Ik Kevin Cho, Johanna Seitz-Holland, Lipeng Ning, Jon Haitz Legarreta, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell, Ofer Pasternak:
DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI. IEEE Trans. Medical Imaging 43(3): 1191-1202 (2024) - 2023
- [j25]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions. Medical Image Anal. 85: 102759 (2023) - [j24]Yuqian Chen, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation. NeuroImage 273: 120086 (2023) - 2022
- [j23]Leo R. Zekelman, Fan Zhang, Nikos Makris, Jianzhong He, Yuqian Chen, Tengfei Xue, Daniela Liera, Daniel L. Drane, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell:
White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project. NeuroImage 246: 118739 (2022) - [j22]Fan Zhang, Alessandro Daducci, Yong He, Simona Schiavi, Caio Seguin, Robert E. Smith, Chun-Hung Yeh, Tengda Zhao, Lauren J. O'Donnell:
Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review. NeuroImage 249: 118870 (2022) - [j21]Fan Zhang, William M. Wells III, Lauren J. O'Donnell:
Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI Registration. IEEE Trans. Medical Imaging 41(6): 1454-1467 (2022) - [j20]Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai:
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. IEEE Trans. Medical Imaging 41(8): 2180-2190 (2022) - 2021
- [j19]Fan Zhang, Kang Ik Kevin Cho, Yingying Tang, Tianhong Zhang, Sinead Kelly, Maria Di Biase, Lihua Xu, Huijun Li, Keshevan Matcheri, Susan L. Whitfield-Gabrieli, Margaret Niznikiewicz, William S. Stone, Jijun Wang, Martha Elizabeth Shenton, Ofer Pasternak:
MK-Curve improves sensitivity to identify white matter alterations in clinical high risk for psychosis. NeuroImage 226: 117564 (2021) - [j18]Fan Zhang, Anna Breger, Kang Ik Kevin Cho, Lipeng Ning, Carl-Fredrik Westin, Lauren J. O'Donnell, Ofer Pasternak:
Deep learning based segmentation of brain tissue from diffusion MRI. NeuroImage 233: 117934 (2021) - [j17]Kurt G. Schilling, François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang-Cheng Yeh, Gabriel Girard, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Elda Fischi Gomez, Marco Pizzolato, Mario Ocampo-Pineda, Simona Schiavi, Erick Jorge Canales-Rodríguez, Alessandro Daducci, Cristina Granziera, Giorgio M. Innocenti, Jean-Philippe Thiran, Laura Mancini, Stephen J. Wastling, Sirio Cocozza, Maria Petracca, Giuseppe Pontillo, Matteo Mancini, Sjoerd B. Vos, Vejay N. Vakharia, John S. Duncan, Helena Melero, Lidia Manzanedo, Emilio Sanz-Morales, Ángel Peña-Melián, Fernando Calamante, Arnaud Attye, Ryan P. Cabeen, Laura Korobova, Arthur W. Toga, Anupa Ambili Vijayakumari, Drew Parker, Ragini Verma, Ahmed M. Radwan, Stefan Sunaert, Louise Emsell, Alberto De Luca, Alexander Leemans, Claude J. Bajada, Hamied A. Haroon, Hojjatollah Azadbakht, Maxime Chamberland, Sila Genc, Chantal M. W. Tax, Ping Hong Yeh, Rujirutana Srikanchana, Colin D. Mcknight, Joseph Yuan-Mou Yang, Jian Chen, Claire E. Kelly, Chun-Hung Yeh, Jérôme Cochereau, Jerome J. Maller, Thomas Welton, Fabien Almairac, Kiran K. Seunarine, Chris A. Clark, Fan Zhang, Nikos Makris, Alexandra J. Golby, Yogesh Rathi, Lauren J. O'Donnell, Yihao Xia, Dogu Baran Aydogan, Yonggang Shi, Francisco Guerreiro Fernandes, Mathijs Raemaekers, Shaun Warrington, Stijn Michielse, Alonso Ramirez-Manzanares, Luis Concha, Ramón Aranda, Mariano Rivera Meraz, Garikoitz Lerma-Usabiaga, Lucas Roitman, Lucius S. Fekonja, Navona Calarco, Michael Joseph, Hajer Nakua, Aristotle N. Voineskos, Philippe Karan, Gabrielle Grenier, Jon Haitz Legarreta, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Andrew L. Alexander, Koji Kamagata, Yuya Saito, Wataru Uchida, Christina Andica, Masahiro Abe, Roza G. Bayrak, Claudia A. M. Gandini Wheeler-Kingshott, Egidio D'Angelo, Fulvia Palesi, Giovanni Savini, Nicolò Rolandi, Pamela Guevara, Josselin Houenou, Narciso López-López, Jean-François Mangin, Cyril Poupon, Claudio Román, Andrea Vázquez, Chiara Maffei, Mavilde Arantes, José Paulo Andrade, Susana Maria Silva, Vince D. Calhoun, Eduardo Caverzasi, Simone Sacco, Michael Lauricella, Franco Pestilli, Daniel Bullock, Yang Zhan, Edith Brignoni-Pérez, Catherine Lebel, Jess E Reynolds, Igor Nestrasil, René Labounek, Christophe Lenglet, Amy Paulson, Stefania Aulicka, Sarah R. Heilbronner, Katja Heuer, Bramsh Qamar Chandio, Javier Guaje, Wei Tang, Eleftherios Garyfallidis, Rajikha Raja, Adam W. Anderson, Bennett A. Landman, Maxime Descoteaux:
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage 243: 118502 (2021) - [j16]Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images. IEEE Trans. Medical Imaging 40(1): 154-165 (2021) - 2020
- [j15]Fan Zhang, Suheyla Cetin Karayumak, Nico Hoffmann, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell:
Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation. Medical Image Anal. 65: 101761 (2020) - [j14]Fan Zhang, Guoqiang Xie, Laura Leung, Michael A. Mooney, Lorenz Epprecht, Isaiah Norton, Yogesh Rathi, Ron Kikinis, Ossama Al-Mefty, Nikos Makris, Alexandra J. Golby, Lauren J. O'Donnell:
Creation of a novel trigeminal tractography atlas for automated trigeminal nerve identification. NeuroImage 220: 117063 (2020) - 2019
- [j13]Fan Zhang, Lipeng Ning, Lauren J. O'Donnell, Ofer Pasternak:
MK-curve - Characterizing the relation between mean kurtosis and alterations in the diffusion MRI signal. NeuroImage 196: 68-80 (2019) - 2018
- [j12]Fan Zhang, Weining Wu, Lipeng Ning, Gloria McAnulty, Deborah P. Waber, Borjan A. Gagoski, Kiera Sarill, Hesham M. Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, Lauren J. O'Donnell:
Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis. NeuroImage 171: 341-354 (2018) - [j11]Fan Zhang, Peter Savadjiev, Weidong Cai, Yang Song, Yogesh Rathi, Birkan Tunç, Drew Parker, Tina Kapur, Robert T. Schultz, Nikos Makris, Ragini Verma, Lauren J. O'Donnell:
Whole brain white matter connectivity analysis using machine learning: An application to autism. NeuroImage 172: 826-837 (2018) - [j10]Valerie J. Sydnor, Ana María Rivas-Grajales, Amanda E. Lyall, Fan Zhang, Sylvain Bouix, Sarina Karmacharya, Martha Elizabeth Shenton, Carl-Fredrik Westin, Nikos Makris, Demian Wassermann, Lauren J. O'Donnell, Marek Kubicki:
A comparison of three fiber tract delineation methods and their impact on white matter analysis. NeuroImage 178: 318-331 (2018) - [j9]Fan Zhang, Ye Wu, Isaiah Norton, Laura Rigolo, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell:
An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage 179: 429-447 (2018) - [j8]Ye Wu, Fan Zhang, Nikos Makris, Yuping Ning, Isaiah Norton, Shenglin She, Hongjun Peng, Yogesh Rathi, Yuanjing Feng, Huawang Wu, Lauren J. O'Donnell:
Investigation into local white matter abnormality in emotional processing and sensorimotor areas using an automatically annotated fiber clustering in major depressive disorder. NeuroImage 181: 16-29 (2018) - 2017
- [j7]Yang Song, Qing Li, Fan Zhang, Heng Huang, Dagan Feng, Yue Wang, Mei Chen, Weidong Cai:
Dual discriminative local coding for tissue aging analysis. Medical Image Anal. 38: 65-76 (2017) - 2016
- [j6]Zhenrui Chen, Yanmei Tie, Olutayo I. Olubiyi, Fan Zhang, Alireza Mehrtash, Laura Rigolo, Pegah Kahali, Isaiah Norton, Ofer Pasternak, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell:
Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography. Int. J. Comput. Assist. Radiol. Surg. 11(8): 1475-1486 (2016) - [j5]Fan Zhang, Yang Song, Weidong Cai, Alexander G. Hauptmann, Sidong Liu, Sonia Pujol, Ron Kikinis, Michael J. Fulham, David Dagan Feng, Mei Chen:
Dictionary pruning with visual word significance for medical image retrieval. Neurocomputing 177: 75-88 (2016) - [j4]Fan Zhang, Yang Song, Weidong Cai, Sidong Liu, Siqi Liu, Sonia Pujol, Ron Kikinis, Yong Xia, Michael J. Fulham, David Dagan Feng:
Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging. IEEE Trans. Biomed. Eng. 63(5): 1058-1069 (2016) - 2015
- [j3]Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael J. Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis:
Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders. Brain Informatics 2(3): 167-180 (2015) - [j2]Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael J. Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis:
Multimodal neuroimaging computing: the workflows, methods, and platforms. Brain Informatics 2(3): 181-195 (2015) - 2014
- [j1]Fan Zhang, Yang Song, Weidong Cai, Min-Zhao Lee, Yun Zhou, Heng Huang, Shimin Shan, Michael J. Fulham, David Dagan Feng:
Lung Nodule Classification With Multilevel Patch-Based Context Analysis. IEEE Trans. Biomed. Eng. 61(4): 1155-1166 (2014)
Conference and Workshop Papers
- 2024
- [c47]Haolin He, Ce Zhu, Le Zhang, Yipeng Liu, Xiao Xu, Yuqian Chen, Leo R. Zekelman, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell, Fan Zhang:
A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using DMRI Tractography. ISBI 2024: 1-5 - [c46]Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai:
SAT-Morph: Unsupervised Deformable Medical Image Registration Using Vision Foundation Models with Anatomically Aware Text Prompt. MedAGI@MICCAI 2024: 71-80 - [c45]Xi Zhu, Wei Zhang, Yijie Li, Lauren J. O'Donnell, Fan Zhang:
When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation. MICCAI (2) 2024: 530-540 - 2023
- [c44]Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Tractgraphcnn: Anatomically Informed Graph CNN for Classification Using Diffusion MRI Tractography. ISBI 2023: 1-5 - [c43]Sipei Li, Jianzhong He, Tengfei Xue, Guoqiang Xie, Shun Yao, Yuqian Chen, Erickson F. Torio, Yuanjing Feng, Dhiego Chaves de Almeida Bastos, Yogesh Rathi, Nikos Makris, Ron Kikinis, Wenya Linda Bi, Alexandra J. Golby, Lauren J. O'Donnell, Fan Zhang:
DEEPRGVP: A novel microstructure-informed supervised contrastive learning framework for automated identification of the retinogeniculate pathway using dMRI tractography. ISBI 2023: 1-5 - [c42]Nabil Vindas, Nicole Labra Avila, Fan Zhang, Tengfei Xue, Lauren J. O'Donnell, Jean-François Mangin:
GeoLab: Geometry-Based Tractography Parcellation of Superficial White Matter. ISBI 2023: 1-5 - [c41]Xiao Xu, Yuqian Chen, Leo R. Zekelman, Yogesh Rathi, Nikos Makris, Fan Zhang, Lauren J. O'Donnell:
Tractography-Based Parcellation of Cerebellar Dentate Nuclei via a Deep Nonnegative Matrix Factorization Clustering Method. ISBI 2023: 1-4 - [c40]Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai:
A Registration- and Uncertainty-Based Framework for White Matter Tract Segmentation with Only One Annotated Subject. ISBI 2023: 1-5 - [c39]Tengfei Xue, Hazhar Sufi Karimi, William Consagra, Fan Zhang, Weidong Cai, Lauren J. O'Donnell, Lipeng Ning, Yogesh Rathi:
A Deep Learning Framework for Estimating Multi-Fiber PICASO Model Parameters of Tissue Microstructure Using Diffusion MRI. ISBI 2023: 1-5 - [c38]Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data. CDMRI@MICCAI 2023: 165-176 - [c37]Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation. MICCAI (8) 2023: 409-419 - 2022
- [c36]Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William M. Wells III, Lauren J. O'Donnell:
Model and Predict Age and Sex in Healthy Subjects Using Brain White Matter Features: A Deep Learning Approach. ISBI 2022: 1-5 - [c35]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Supwma: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. ISBI 2022: 1-5 - [c34]Yuqian Chen, Fan Zhang, Chaoyi Zhang, Tengfei Xue, Leo R. Zekelman, Jianzhong He, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell:
White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. MICCAI (1) 2022: 174-184 - [c33]Fan Zhang, Tengfei Xue, Weidong Cai, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell:
TractoFormer: A Novel Fiber-Level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers. MICCAI (1) 2022: 196-206 - 2021
- [c32]Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn:
FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects. PacificVis 2021: 116-125 - [c31]Yuqian Chen, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Wojciech Chrzanowski, Weidong Cai:
Celltrack R-CNN: A Novel End-To-End Deep Neural Network For Cell Segmentation And Tracking In Microscopy Images. ISBI 2021: 779-782 - [c30]Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. MICCAI (7) 2021: 497-507 - 2020
- [c29]Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting. CVPR 2020: 4242-4251 - [c28]Andrei Irimia, Di Fan, Nikhil N. Chaudhari, Van Ngo, Fan Zhang, Shantanu H. Joshi, Lauren J. O'Donnell:
Mapping Cerebral Connectivity Changes after Mild Traumatic Brain Injury in Older Adults Using Diffusion Tensor Imaging and Riemannian Matching of Elastic Curves. ISBI 2020: 1690-1693 - [c27]Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi:
TRAKO: Efficient Transmission of Tractography Data for Visualization. MICCAI (7) 2020: 322-332 - 2019
- [c26]Donghao Zhang, Yang Song, Dongnan Liu, Chaoyi Zhang, Yicheng Wu, Heng Wang, Fan Zhang, Yong Xia, Lauren J. O'Donnell, Weidong Cai:
Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation. Australasian Conference on Artificial Intelligence 2019: 563-573 - [c25]Di Fan, Nikhil N. Chaudhari, Kenneth A. Rostowsky, Maria Calvillo, Sean K. Lee, Nahian F. Chowdhury, Fan Zhang, Lauren J. O'Donnell, Andrei Irimia:
Post-Traumatic Cerebral Microhemorrhages and their Effects Upon White Matter Connectivity in the Aging Human Brain. EMBC 2019: 198-203 - [c24]Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Weidong Cai:
Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion. IJCAI 2019: 861-868 - [c23]Fan Zhang, Nico Hoffmann, Suheyla Cetin Karayumak, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell:
Deep White Matter Analysis: Fast, Consistent Tractography Segmentation Across Populations and dMRI Acquisitions. MICCAI (3) 2019: 599-608 - 2018
- [c22]Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren J. O'Donnell, Weidong Cai:
3D Large Kernel Anisotropic Network for Brain Tumor Segmentation. ICONIP (7) 2018: 444-454 - 2017
- [c21]Yang Song, Fan Zhang, Qing Li, Heng Huang, Lauren J. O'Donnell, Weidong Cai:
Locally-Transferred Fisher Vectors for Texture Classification. ICCV 2017: 4922-4930 - [c20]Fan Zhang, Pegah Kahali, Yannick Suter, Isaiah Norton, Laura Rigolo, Peter Savadjiev, Yang Song, Yogesh Rathi, Tom Weidong Cai, William M. Wells III, Alexandra J. Golby, Lauren J. O'Donnell:
Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction. ISBI 2017: 774-777 - [c19]Fan Zhang, Isaiah Norton, Weidong Cai, Yang Song, William M. Wells III, Lauren J. O'Donnell:
Comparison between two white matter segmentation strategies: An investigation into white matter segmentation consistency. ISBI 2017: 796-799 - [c18]Fan Zhang, Weining Wu, Lipeng Ning, Gloria McAnulty, Deborah P. Waber, Borjan A. Gagoski, Kiera Sarill, Hesham M. Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, Lauren J. O'Donnell:
Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis. MICCAI (1) 2017: 556-565 - 2016
- [c17]Sidong Liu, Yang Song, Fan Zhang, Dagan Feng, Michael J. Fulham, Tom Weidong Cai:
Clique Identification and Propagation for Multimodal Brain Tumor Image Segmentation. BIH 2016: 285-294 - [c16]Fan Zhang, Peter Savadjiev, Tom Weidong Cai, Yang Song, Ragini Verma, Carl-Fredrik Westin, Lauren J. O'Donnell:
Fiber clustering based white matter connectivity analysis for prediction of Autism Spectrum Disorder using diffusion tensor imaging. ISBI 2016: 564-567 - [c15]Yang Song, Weidong Cai, Fan Zhang, Heng Huang, David Dagan Feng, Yue Wang, Mei Chen:
Texture analysis of tissue aging using global and cluster constrained local coding. ISBI 2016: 1229-1232 - 2015
- [c14]Fan Zhang, Yang Song, Tom Weidong Cai, Alexander G. Hauptmann, Sidong Liu, Siqi Liu, David Dagan Feng, Mei Chen:
Ranking-Based Vocabulary Pruning in Bag-of-Features for Image Retrieval. ACALCI 2015: 436-445 - [c13]Yang Song, Weidong Cai, Qing Li, Fan Zhang, David Dagan Feng, Heng Huang:
Fusing subcategory probabilities for texture classification. CVPR 2015: 4409-4417 - [c12]Siqi Liu, Nur Hadi, Sidong Liu, Sonia Pujol, Ron Kikinis, Fan Zhang, Dagan Feng, Weidong Cai:
Content-Based Retrieval of Brain Diffusion Magnetic Resonance Image. MRDM@ECIR 2015: 54-60 - [c11]Fan Zhang, Yang Song, Weidong Cai, Adrien Depeursinge, Henning Müller:
USYD/HES-SO in the VISCERAL Retrieval Benchmark. MRDM@ECIR 2015: 139-143 - [c10]Fan Zhang, Weidong Cai, Yang Song, Paul M. Young, Daniela Traini, Lucy Morgan, Hui-Xin Ong, Lachlan Buddle, Dagan Feng:
Beating cilia identification in fluorescence microscope images for accurate CBF measurement. ICIP 2015: 4496-4500 - [c9]Yang Song, Weidong Cai, Fan Zhang, Heng Huang, Yun Zhou, David Dagan Feng:
Bone texture characterization with fisher encoding of local descriptors. ISBI 2015: 5-8 - [c8]Siqi Liu, Sidong Liu, Fan Zhang, Tom Weidong Cai, Sonia Pujol, Ron Kikinis, David Dagan Feng:
Longitudinal brain MR retrieval with diffeomorphic demons registration: What happened to those patients with similar changes? ISBI 2015: 588-591 - [c7]Fan Zhang, Yang Song, Siqi Liu, Paul M. Young, Daniela Traini, Lucy Morgan, Hui-Xin Ong, Lachlan Buddle, Sidong Liu, David Dagan Feng, Tom Weidong Cai:
Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation. MICCAI (3) 2015: 300-307 - 2014
- [c6]Fan Zhang, Yang Song, Sidong Liu, Sonia Pujol, Ron Kikinis, David Dagan Feng, Tom Weidong Cai:
Latent Semantic Association for Medical Image Retrieval. DICTA 2014: 1-6 - [c5]Fan Zhang, Weidong Cai, Yang Song, Paul M. Young, Daniela Traini, Lucy Morgan, Hui-Xin Ong, Lachlan Buddle, Dagan Feng:
Image-based ciliary beating frequency estimation for therapeutic assessment on defective mucociliary clearance diseases. ISBI 2014: 193-196 - [c4]Weidong Cai, Fan Zhang, Yang Song, Sidong Liu, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, Dagan Feng:
Automated feedback extraction for medical imaging retrieval. ISBI 2014: 907-910 - [c3]Fan Zhang, Yang Song, Weidong Cai, Yun Zhou, Michael J. Fulham, Stefan Eberl, Shimin Shan, Dagan Feng:
A ranking-based lung nodule image classification method using unlabeled image knowledge. ISBI 2014: 1356-1359 - 2013
- [c2]Fan Zhang, Yang Song, Weidong Cai, Yun Zhou, Shimin Shan, Dagan Feng:
Context Curves for Classification of Lung Nodule Images. DICTA 2013: 1-7 - [c1]Fan Zhang, Weidong Cai, Yang Song, Min-Zhao Lee, Shimin Shan, David Dagan Feng:
Overlapping node discovery for improving classification of lung nodules. EMBC 2013: 5461-5464
Parts in Books or Collections
- 2017
- [p1]Fan Zhang, Yang Song, Weidong Cai, Adrien Depeursinge, Henning Müller:
Text- and Content-Based Medical Image Retrieval in the VISCERAL Retrieval Benchmark. Cloud-Based Benchmarking of Medical Image Analysis 2017: 237-249
Informal and Other Publications
- 2024
- [i30]Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data. CoRR abs/2401.04579 (2024) - [i29]Yui Lo, Yuqian Chen, Dongnan Liu, Wan Liu, Leo R. Zekelman, Fan Zhang, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell:
Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction. CoRR abs/2403.19001 (2024) - [i28]Qian Zeng, Le Zhang, Yipeng Liu, Ce Zhu, Fan Zhang:
Graph-Guided Test-Time Adaptation for Glaucoma Diagnosis using Fundus Photography. CoRR abs/2407.04396 (2024) - [i27]Yuqian Chen, Fan Zhang, Meng Wang, Leo R. Zekelman, Suheyla Cetin Karayumak, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell:
TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Classification from Diffusion MRI Tractography. CoRR abs/2407.08883 (2024) - [i26]Ari Tchetchenian, Leo R. Zekelman, Yuqian Chen, Jarrett Rushmore, Fan Zhang, Edward H. Yeterian, Nikos Makris, Yogesh Rathi, Erik Meijering, Yang Song, Lauren J. O'Donnell:
Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning. CoRR abs/2407.15132 (2024) - [i25]Yui Lo, Yuqian Chen, Fan Zhang, Dongnan Liu, Leo R. Zekelman, Suheyla Cetin Karayumak, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell:
White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging. CoRR abs/2407.19460 (2024) - [i24]Xi Zhu, Wei Zhang, Yijie Li, Lauren J. O'Donnell, Fan Zhang:
When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation. CoRR abs/2408.12897 (2024) - [i23]Chenjun Li, Dian Yang, Shun Yao, Shuyue Wang, Ye Wu, Le Zhang, Qiannuo Li, Kang Ik Kevin Cho, Johanna Seitz-Holland, Lipeng Ning, Jon Haitz Legarreta, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell, Nir A. Sochen, Ofer Pasternak, Fan Zhang:
EVENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI. CoRR abs/2409.07020 (2024) - 2023
- [i22]Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell:
TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography. CoRR abs/2301.01911 (2023) - [i21]Nabil Vindas, Nicole Labra Avila, Fan Zhang, Tengfei Xue, Lauren J. O'Donnell, Jean-François Mangin:
GeoLab: Geometry-based Tractography Parcellation of Superficial White Matter. CoRR abs/2303.01147 (2023) - [i20]Wan Liu, Yuqian Chen, Chuyang Ye, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes. CoRR abs/2303.09124 (2023) - [i19]Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai:
A Registration- and Uncertainty-based Framework for White Matter Tract Segmentation With Only One Annotated Subject. CoRR abs/2303.14371 (2023) - [i18]Jianzhong He, Fan Zhang, Yiang Pan, Yuanjing Feng, Jarrett Rushmore, Erickson Torio, Yogesh Rathi, Nikos Makris, Ron Kikinis, Alexandra J. Golby, Lauren J. O'Donnell:
Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods. CoRR abs/2306.05623 (2023) - [i17]Yuqian Chen, Leo R. Zekelman, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. CoRR abs/2307.03982 (2023) - [i16]Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation. CoRR abs/2307.09000 (2023) - 2022
- [i15]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. CoRR abs/2201.12528 (2022) - [i14]Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William M. Wells III, Lauren J. O'Donnell:
Model and predict age and sex in healthy subjects using brain white matter features: A deep learning approach. CoRR abs/2202.03595 (2022) - [i13]Yuqian Chen, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
DFC: Anatomically Informed Fiber Clustering with Self-supervised Deep Learning for Fast and Effective Tractography Parcellation. CoRR abs/2205.00627 (2022) - [i12]Fan Zhang, Tengfei Xue, Weidong Cai, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell:
TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers. CoRR abs/2207.02327 (2022) - [i11]Yuqian Chen, Fan Zhang, Chaoyi Zhang, Tengfei Xue, Leo R. Zekelman, Jianzhong He, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Tom Weidong Cai, Lauren J. O'Donnell:
White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. CoRR abs/2207.02402 (2022) - [i10]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions. CoRR abs/2207.08975 (2022) - [i9]Tengfei Xue, Fan Zhang, Leo R. Zekelman, Chaoyi Zhang, Yuqian Chen, Suheyla Cetin Karayumak, Steven D. Pieper, William M. Wells III, Yogesh Rathi, Nikos Makris, Weidong Cai, Lauren J. O'Donnell:
A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography. CoRR abs/2210.07411 (2022) - [i8]Yuxiang Wei, Tengfei Xue, Yogesh Rathi, Nikos Makris, Fan Zhang, Lauren J. O'Donnell:
Age Prediction Performance Varies Across Deep, Superficial, and Cerebellar White Matter Connections. CoRR abs/2211.07398 (2022) - [i7]Sipei Li, Jianzhong He, Tengfei Xue, Guoqiang Xie, Shun Yao, Yuqian Chen, Erickson F. Torio, Yuanjing Feng, Dhiego Chaves de Almeida Bastos, Yogesh Rathi, Nikos Makris, Ron Kikinis, Wenya Linda Bi, Alexandra J. Golby, Lauren J. O'Donnell, Fan Zhang:
DeepRGVP: A Novel Microstructure-Informed Supervised Contrastive Learning Framework for Automated Identification Of The Retinogeniculate Pathway Using dMRI Tractography. CoRR abs/2211.08119 (2022) - 2021
- [i6]Yuqian Chen, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Wojciech Chrzanowski, Weidong Cai:
CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images. CoRR abs/2102.10377 (2021) - [i5]Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. CoRR abs/2107.04938 (2021) - [i4]Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai:
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. CoRR abs/2109.05788 (2021) - 2020
- [i3]Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren O'Donnell, Yogesh Rathi:
TRAKO: Efficient Transmission of Tractography Data for Visualization. CoRR abs/2004.13630 (2020) - [i2]Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting. CoRR abs/2005.02066 (2020) - [i1]Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn:
FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects. CoRR abs/2005.08090 (2020)
Coauthor Index
[j28] [j25] [j24] [j20] [j16] [j12] [j11] [j7] [j5] [j4] [j3] [j2] [j1] [c46] [c44] [c40] [c39] [c38] [c37] [c35] [c34] [c33] [c31] [c30] [c29] [c26] [c24] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [p1] [i30] [i29] [i27] [i25] [i22] [i20] [i19] [i17] [i16] [i15] [i13] [i12] [i11] [i10] [i9] [i6] [i5] [i4] [i2]
Lauren O'Donnell
aka: Lauren J. O'Donnell
aka: Lauren J. O'Donnell
[j28] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j6] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c16] [i30] [i29] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
[j28] [j26] [j25] [j24] [j23] [j17] [j15] [j14] [j12] [j11] [j9] [j8] [j6] [c47] [c44] [c43] [c41] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c30] [c27] [c23] [c20] [c18] [i30] [i29] [i27] [i26] [i25] [i23] [i22] [i20] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i5] [i3] [i1]
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