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Publications
- 2025
[j38]Jiaxuan Pang, Dongao Ma, Ziyu Zhou, Michael B. Gotway, Jianming Liang:
POPAR: Patch Order Prediction and Appearance Recovery for self-supervised learning in chest radiography. Medical Image Anal. 105: 103720 (2025)- [j37]Dongao Ma
, Jiaxuan Pang, Michael B. Gotway, Jianming Liang:
A fully open AI foundation model applied to chest radiography. Nat. 643(8071): 488-498 (2025) - [c49]Nahid Ul Islam, Dongao Ma, Jiaxuan Pang, Shivasakthi Senthil Velan, Michael B. Gotway, Jianming Liang:
Foundation X: Integrating Classification, Localization, and Segmentation Through Lock-Release Pretraining Strategy for Chest X-Ray Analysis. WACV 2025: 3647-3656 - [c48]Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang:
ACE: Anatomically Consistent Embeddings in Composition and Decomposition. WACV 2025: 3823-3833 - [c47]Fatemeh Haghighi, Michael B. Gotway, Jianming Liang:
Learning Anatomy-Disease Entangled Representation. WACV 2025: 4129-4141 - [i24]Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang:
ACE: Anatomically Consistent Embeddings in Composition and Decomposition. CoRR abs/2501.10131 (2025) - [i23]Nahid Ul Islam, Dongao Ma, Jiaxuan Pang, Shivasakthi Senthil Velan, Michael B. Gotway, Jianming Liang:
Foundation X: Integrating Classification, Localization, and Segmentation through Lock-Release Pretraining Strategy for Chest X-ray Analysis. CoRR abs/2503.09860 (2025) - 2024
- [j35]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: 102988 (2024) - [j34]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: 103086 (2024) - [j33]Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang:
Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning. Medical Image Anal. 95: 103159 (2024) - [c46]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. CVPR 2024: 11269-11281 - [c45]Jiaxuan Pang, Dongao Ma, Ziyu Zhou, Michael B. Gotway, Jianming Liang:
ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-Grained Appearance for CT Images. MICCAI (11) 2024: 91-101 - [i22]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 abs/2404.15672 (2024) - 2023
- [c44]Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang:
Learning Anatomically Consistent Embedding for Chest Radiography. BMVC 2023: 617-619 - [c42]Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang:
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision. DART@MICCAI 2023: 94-104 - [c41]Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang:
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. MICCAI (1) 2023: 651-662 - [i21]Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang:
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision. CoRR abs/2309.15358 (2023) - [i20]Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang:
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. CoRR abs/2310.09507 (2023) - [i19]Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang:
Learning Anatomically Consistent Embedding for Chest Radiography. CoRR abs/2312.00335 (2023) - 2022
- [c40]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: 20792-20802 - [c38]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: 12-22 - [c37]Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang:
Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining. DART@MICCAI 2022: 66-76 - [c36]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: 77-87 - [c35]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: 535-551 - [i18]Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang:
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging. CoRR abs/2204.07344 (2022) - [i17]Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang:
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis. CoRR abs/2204.10437 (2022) - 2021
- [j31]Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang:
Models Genesis. Medical Image Anal. 67: 101840 (2021) - [j30]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: 101997 (2021) - [j28]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): 2857-2868 (2021) - [c33]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: 3-13 - [c32]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: 692-702 - [i14]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 abs/2102.10680 (2021) - [i13]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 abs/2108.05930 (2021) - [i12]Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang:
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. CoRR abs/2109.07029 (2021) - 2020
- [c31]Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang:
Parts2Whole: Self-supervised Contrastive Learning via Reconstruction. DART/DCL@MICCAI 2020: 85-95 - [c30]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: 137-147 - [i11]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 abs/2003.13440 (2020) - [i10]Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang:
Models Genesis. CoRR abs/2004.07882 (2020) - [i9]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 abs/2007.06959 (2020) - 2019
- [j23]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) - [c29]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: 191-200 - [c26]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: 384-393 - [i7]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 abs/1908.06912 (2019) - [i6]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 abs/1908.06965 (2019) - 2018
- [i4]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 abs/1802.00912 (2018) - 2017
- [c24]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: 4761-4772 - [p1]Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang:
On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 181-193 - [i2]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 abs/1706.00712 (2017) - 2016
- [j11]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): 1299-1312 (2016) - 2015
- [c19]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: 62-69 - 2013
- [j4]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): 1359-1370 (2013)
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last updated on 2025-08-21 01:49 CEST by the dblp team
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