Michael B. Gotway

57 papers A* 4A 4Journal 32Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ark + : Supervised training a single high-performance AI foundation model from many differently labeled datasets - no label consolidation required.
Medical Image Anal.
Dongao Ma, Jiaxuan Pang, Shivasakthi Senthil Velan, Michael B. Gotway, Jianming Liang
2025 J jnl
A fully open AI foundation model applied to chest radiography.
Nat.
Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
2025 A conf
ACE: Anatomically Consistent Embeddings in Composition and Decomposition.
WACV
Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2025 J jnl
ACE: Anatomically Consistent Embeddings in Composition and Decomposition.
CoRR
Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2025 — conf
Cross-Modal Knowledge Distillation for Chest Radiographic Diagnosis via Embedding Expansion, Reconstruction, and Classification.
MedAGI
Dongao Ma, Jiaxuan Pang, Ziyu Zhou, Michael B. Gotway, Jianming Liang
2025 A conf
Foundation X: Integrating Classification, Localization, and Segmentation Through Lock-Release Pretraining Strategy for Chest X-Ray Analysis.
WACV
Nahid Ul Islam, Dongao Ma, Jiaxuan Pang, Shivasakthi Senthil Velan, Michael B. Gotway, Jianming Liang
2025 J jnl
Foundation X: Integrating Classification, Localization, and Segmentation through Lock-Release Pretraining Strategy for Chest X-ray Analysis.
CoRR
Nahid Ul Islam, Dongao Ma, Jiaxuan Pang, Shivasakthi Senthil Velan, Michael B. Gotway, Jianming Liang
2025 J jnl
Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs.
CoRR
Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2025 A conf
Learning Anatomy-Disease Entangled Representation.
WACV
Fatemeh Haghighi, Michael B. Gotway, Jianming Liang
2025 J jnl
POPAR: Patch Order Prediction and Appearance Recovery for self-supervised learning in chest radiography.
Medical Image Anal.
Jiaxuan Pang, Dongao Ma, Ziyu Zhou, Michael B. Gotway, Jianming Liang
2025 — conf
💡💡💡 Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs.
MedAGI
Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2024 — conf
ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-Grained Appearance for CT Images.
MICCAI (11)
Jiaxuan Pang, Dongao Ma, Ziyu Zhou, Michael B. Gotway, Jianming Liang
2024 A* conf
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision.
CVPR
Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2024 J jnl
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision.
CoRR
Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2024 J jnl
Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism.
Medical Image Anal.
Nahid Ul Islam, Zongwei Zhou, Shiv Gehlot, Michael B. Gotway, Jianming Liang
2024 J jnl
Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?
Medical Image Anal.
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2024 J jnl
Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning.
Medical Image Anal.
Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang
2023 — conf
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance.
MICCAI (1)
Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
2023 J jnl
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance.
CoRR
Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
2023 A conf
Learning Anatomically Consistent Embedding for Chest Radiography.
BMVC
Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2023 J jnl
Learning Anatomically Consistent Embedding for Chest Radiography.
CoRR
Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2023 J jnl
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision.
CoRR
Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2023 — conf
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision.
DART@MICCAI
Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2022 — conf
Benchmarking and Boosting Transformers for Medical Image Classification.
DART@MICCAI
Dongao Ma, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Nahid Ul Islam, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang
2022 — conf
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging.
MIDL
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang
2022 J jnl
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging.
CoRR
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang
2022 A* conf
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis.
CVPR
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2022 J jnl
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis.
CoRR
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2022 — conf
Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining.
DART@MICCAI
Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang
2022 — conf
POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis.
DART@MICCAI
Jiaxuan Pang, Fatemeh Haghighi, Dongao Ma, Nahid Ul Islam, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
2021 — conf
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis.
DART/FAIR@MICCAI
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang
2021 J jnl
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis.
CoRR
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang
2021 J jnl
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts.
Medical Image Anal.
Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
2021 J jnl
Models Genesis.
Medical Image Anal.
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
2021 — conf
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection.
MLMI@MICCAI
Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2021 J jnl
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection.
CoRR
Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2021 J jnl
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning.
IEEE Trans. Medical Imaging
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2021 J jnl
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning.
CoRR
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2020 J jnl
Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE).
CoRR
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
2020 — conf
Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration.
MICCAI (1)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2020 J jnl
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration.
CoRR
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2020 J jnl
Models Genesis.
CoRR
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
2020 — conf
Parts2Whole: Self-supervised Contrastive Learning via Reconstruction.
DART/DCL@MICCAI
Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2019 J jnl
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation.
Medical Image Anal.
Nima Tajbakhsh, Jae Y. Shin, Michael B. Gotway, Jianming Liang
2019 A* conf
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization.
ICCV
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
2019 J jnl
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization.
CoRR
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
2019 — conf
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis.
MICCAI (4)
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
2019 J jnl
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis.
CoRR
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
2018 J jnl
AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts.
CoRR
Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
2017 J jnl
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
CoRR
Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
2017 A* conf
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally.
CVPR
Zongwei Zhou, Jae Y. Shin, Lei Zhang, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
2017 — ch.
On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging.
Deep Learning and Convolutional Neural Networks for Medical Image Computing
Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
2016 J jnl
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
IEEE Trans. Medical Imaging
Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
2015 — conf
Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks.
MICCAI (2)
Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
2013 J jnl
A novel online boosting algorithm for automatic anatomy detection.
Mach. Vis. Appl.
Nima Tajbakhsh, Hong Wu, Wenzhe Xue, Michael B. Gotway, Jianming Liang
2011 J jnl
Biomarkers associated with metastasis of lung cancer to brain predict patient survival.
Int. J. Data Min. Bioinform.
Sara Nasser, Aarati R. Ranade, Shravan Sridhart, Lisa Haney, Ronald L. Korn, Michael B. Gotway, Glen J. Weiss, Seungchan Kim
2009 — conf
Identifying MiRNA and Imaging Features Associated with Metastasis of Lung Cancer to the Brain.
BIBM
Sara Nasser, Aarati R. Ranade, Shravan Sridhart, Lisa Haney, Ronald L. Korn, Michael B. Gotway, Glen J. Weiss, Seungchan Kim