Identifying MiRNA and Imaging Features Associated with Metastasis of Lung Cancer to the Brain. - Sara Nasser; Aarati R. Ranade; Shravan Sridhart; Lisa Haney; Ronald L. Korn; Michael B. Gotway; Glen J. Weiss; Seungchan Kim (BIBM, 2009)

Biomarkers associated with metastasis of lung cancer to brain predict patient survival. - Sara Nasser; Aarati R. Ranade; Shravan Sridhart; Lisa Haney; Ronald L. Korn; Michael B. Gotway; Glen J. Weiss; Seungchan Kim (Int. J. Data Min. Bioinform., 2011)

A novel online boosting algorithm for automatic anatomy detection. - Nima Tajbakhsh; Hong Wu; Wenzhe Xue; Michael B. Gotway; Jianming Liang (Mach. Vis. Appl., 2013)

Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks. - Nima Tajbakhsh; Michael B. Gotway; Jianming Liang (MICCAI (2), 2015)

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? - Nima Tajbakhsh; Jae Y. Shin; Suryakanth R. Gurudu; R. Todd Hurst; Christopher B. Kendall; Michael B. Gotway; Jianming Liang (IEEE Trans. Medical Imaging, 2016)

Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally. - Zongwei Zhou; Jae Y. Shin; Lei Zhang; Suryakanth R. Gurudu; Michael B. Gotway; Jianming Liang (CVPR, 2017)

On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging. - Nima Tajbakhsh; Jae Y. Shin; Suryakanth R. Gurudu; R. Todd Hurst; Christopher B. Kendall; Michael B. Gotway; Jianming Liang (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts. - Zongwei Zhou; Jae Y. Shin; Suryakanth R. Gurudu; Michael B. Gotway; Jianming Liang (CoRR, 2018)

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. - Md Mahfuzur Rahman Siddiquee; Zongwei Zhou; Nima Tajbakhsh; Ruibin Feng; Michael B. Gotway; Yoshua Bengio; Jianming Liang (ICCV, 2019)

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. - Zongwei Zhou; Vatsal Sodha; Md Mahfuzur Rahman Siddiquee; Ruibin Feng; Nima Tajbakhsh; Michael B. Gotway; Jianming Liang (MICCAI (4), 2019)

Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation. - Nima Tajbakhsh; Jae Y. Shin; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2019)

Parts2Whole: Self-supervised Contrastive Learning via Reconstruction. - Ruibin Feng; Zongwei Zhou; Michael B. Gotway; Jianming Liang (DART/DCL@MICCAI, 2020)

Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration. - Fatemeh Haghighi; Mohammad Reza Hosseinzadeh Taher; Zongwei Zhou; Michael B. Gotway; Jianming Liang (MICCAI (1), 2020)

Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE). - 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; et al. (CoRR, 2020)

Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. - Nahid Ul Islam; Shiv Gehlot; Zongwei Zhou; Michael B. Gotway; Jianming Liang (MLMI@MICCAI, 2021)

A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis. - Mohammad Reza Hosseinzadeh Taher; Fatemeh Haghighi; Ruibin Feng; Michael B. Gotway; Jianming Liang (DART/FAIR@MICCAI, 2021)

Active, continual fine tuning of convolutional neural networks for reducing annotation efforts. - Zongwei Zhou; Jae Y. Shin; Suryakanth R. Gurudu; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2021)

Models Genesis. - Zongwei Zhou; Vatsal Sodha; Jiaxuan Pang; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2021)

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning. - Fatemeh Haghighi; Mohammad Reza Hosseinzadeh Taher; Zongwei Zhou; Michael B. Gotway; Jianming Liang (IEEE Trans. Medical Imaging, 2021)

DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis. - Fatemeh Haghighi; Mohammad Reza Hosseinzadeh Taher; Michael B. Gotway; Jianming Liang (CVPR, 2022)

Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining. - Zuwei Guo; Nahid Ul Islam; Michael B. Gotway; Jianming Liang (DART@MICCAI, 2022)

Benchmarking and Boosting Transformers for Medical Image Classification. - Dongao Ma; Mohammad Reza Hosseinzadeh Taher; Jiaxuan Pang; Nahid Ul Islam; Fatemeh Haghighi; Michael B. Gotway; Jianming Liang (DART@MICCAI, 2022)

POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis. - Jiaxuan Pang; Fatemeh Haghighi; Dongao Ma; Nahid Ul Islam; Mohammad Reza Hosseinzadeh Taher; Michael B. Gotway; Jianming Liang (DART@MICCAI, 2022)

CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging. - Mohammad Reza Hosseinzadeh Taher; Fatemeh Haghighi; Michael B. Gotway; Jianming Liang (MIDL, 2022)

Learning Anatomically Consistent Embedding for Chest Radiography. - Ziyu Zhou; Haozhe Luo; Jiaxuan Pang; Xiaowei Ding; Michael B. Gotway; Jianming Liang (BMVC, 2023)

Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. - Dongao Ma; Jiaxuan Pang; Michael B. Gotway; Jianming Liang (MICCAI (1), 2023)

Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision. - Mohammad Reza Hosseinzadeh Taher; Michael B. Gotway; Jianming Liang (DART@MICCAI, 2023)

Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision. - Mohammad Reza Hosseinzadeh Taher; Michael B. Gotway; Jianming Liang (CVPR, 2024)

ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-Grained Appearance for CT Images. - Jiaxuan Pang; Dongao Ma; Ziyu Zhou; Michael B. Gotway; Jianming Liang (MICCAI (11), 2024)

Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning. - Zuwei Guo; Nahid Ul Islam; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2024)

Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial? - Fatemeh Haghighi; Mohammad Reza Hosseinzadeh Taher; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2024)

Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism. - Nahid Ul Islam; Zongwei Zhou; Shiv Gehlot; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2024)

Learning Anatomy-Disease Entangled Representation. - Fatemeh Haghighi; Michael B. Gotway; Jianming Liang (WACV, 2025)

Foundation X: Integrating Classification, Localization, and Segmentation Through Lock-Release Pretraining Strategy for Chest X-Ray Analysis. - Nahid Ul Islam; Dongao Ma; Jiaxuan Pang; Shivasakthi Senthil Velan; Michael B. Gotway; Jianming Liang (WACV, 2025)

ACE: Anatomically Consistent Embeddings in Composition and Decomposition. - Ziyu Zhou; Haozhe Luo; Mohammad Reza Hosseinzadeh Taher; Jiaxuan Pang; Xiaowei Ding; Michael B. Gotway; Jianming Liang (WACV, 2025)

POPAR: Patch Order Prediction and Appearance Recovery for self-supervised learning in chest radiography. - Jiaxuan Pang; Dongao Ma; Ziyu Zhou; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2025)

A fully open AI foundation model applied to chest radiography. - Dongao Ma; Jiaxuan Pang; Michael B. Gotway; Jianming Liang (Nat., 2025)