Michael B. Gotway

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 39

Top Topics

Computer Aided Detection

Medical Image Analysis

Convolutional Neural Networks

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

Nahid Ul Islam, Zongwei Zhou, Shiv Gehlot, Michael B. Gotway, Jianming Liang
Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism. Medical Image Anal. 91 (2024)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial? Medical Image Anal. 94 (2024)
Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision. CoRR (2024)
Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang
Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning. Medical Image Anal. 95 (2024)
Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision. DART@MICCAI (2023)
Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
Learning Anatomically Consistent Embedding for Chest Radiography. BMVC (2023)
Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
Learning Anatomically Consistent Embedding for Chest Radiography. CoRR (2023)
Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. MICCAI (1) (2023)
Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision. CoRR (2023)
Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. CoRR (2023)
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging. CoRR (2022)
Dongao Ma, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Nahid Ul Islam, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang
Benchmarking and Boosting Transformers for Medical Image Classification. DART@MICCAI (2022)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis. CoRR (2022)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis. CVPR (2022)
Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang
Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining. DART@MICCAI (2022)
Jiaxuan Pang, Fatemeh Haghighi, DongAo Ma, Nahid Ul Islam, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis. DART@MICCAI (2022)
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging. MIDL (2022)
Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. CoRR (2021)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning. CoRR (2021)
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis. DART/FAIR@MICCAI (2021)
Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. MLMI@MICCAI (2021)
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
Models Genesis. Medical Image Anal. 67 (2021)
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis. CoRR (2021)
Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts. Medical Image Anal. 71 (2021)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning. IEEE Trans. Medical Imaging 40 (10) (2021)
Germán González, Daniel Jimenez-Carretero, Sara Rodríguez-López, Carlos Cano-Espinosa, Miguel Cazorla, Tanya Agarwal, Vinit Agarwal, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang, Mojtaba Masoudi, Noushin Eftekhari, Mahdi Saadatmand Tarzjan, Hamid-Reza Pourreza, Patricia Fraga-Rivas, Eduardo Fraile Moreno, Frank J. Rybicki, Ara Kassarjian, Raúl San José Estépar, María J. Ledesma-Carbayo
Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE). CoRR (2020)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration. CoRR (2020)
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
Models Genesis. CoRR (2020)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration. MICCAI (1) (2020)
Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Parts2Whole: Self-supervised Contrastive Learning via Reconstruction. DART/DCL@MICCAI (2020)
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. CoRR (2019)
Nima Tajbakhsh, Jae Y. Shin, Michael B. Gotway, Jianming Liang
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation. Medical Image Anal. 58 (2019)
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. CoRR (2019)
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. ICCV (2019)
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. MICCAI (4) (2019)
Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts. CoRR (2018)
Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? CoRR (2017)
Zongwei Zhou, Jae Y. Shin, Lei Zhang, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally. CVPR (2017)
Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? IEEE Trans. Medical Imaging 35 (5) (2016)
Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks. MICCAI (2) (2015)
Nima Tajbakhsh, Hong Wu, Wenzhe Xue, Michael B. Gotway, Jianming Liang
A novel online boosting algorithm for automatic anatomy detection. Mach. Vis. Appl. 24 (7) (2013)
Sara Nasser, Aarati R. Ranade, Shravan Sridhart, Lisa Haney, Ronald L. Korn, Michael B. Gotway, Glen J. Weiss, Seungchan Kim
Biomarkers associated with metastasis of lung cancer to brain predict patient survival. Int. J. Data Min. Bioinform. 5 (3) (2011)
Sara Nasser, Aarati R. Ranade, Shravan Sridhart, Lisa Haney, Ronald L. Korn, Michael B. Gotway, Glen J. Weiss, Seungchan Kim
Identifying MiRNA and Imaging Features Associated with Metastasis of Lung Cancer to the Brain. BIBM (2009)