Kayhan Batmanghelich

91 papers A* 14A 3Misc 1Journal 54Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Cautionary Tale of Self-Supervised Learning for Imaging Biomarkers: Alzheimer's Disease Case Study. CoRR Maxwell Reynolds, Chaitanya Srinivasan, Vijay Cherupally, Michael Leone, Ke Yu, Li Sun, Tigmanshu Chaudhary, Andreas Pfenning, Kayhan Batmanghelich
2026	J	`jnl`	VLM-UQBench: A Benchmark for Modality-Specific and Cross-Modality Uncertainties in Vision Language Models. CoRR Chenyu Wang, Tianle Chen, H. M. Sabbir Ahmad, Kayhan Batmanghelich, Wenchao Li
2025	J	`jnl`	A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in Radiology. CoRR Katelyn Morrison, Arpit Mathur, Aidan Bradshaw, Tom Wartmann, Steven Lundi, Afrooz Zandifar, Weichang Dai, Kayhan Batmanghelich, Motahhare Eslami, Adam Perer
2025	J	`jnl`	Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination. CoRR Xinliu Zhong, Kayhan Batmanghelich, Li Sun
2025	J	`jnl`	High-dimensional causal mediation analysis by partial sum statistic and sample splitting strategy in imaging genetics application. Bioinform. Hung-Ching Chang, Yusi Fang, Michael T. Gorczyca, Kayhan Batmanghelich, George C. Tseng
2025	—	`conf`	LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers. ACL (Findings) Shantanu Ghosh, Rayan Syed, Chenyu Wang, Vaibhav Choudhary, Binxu Li, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich
2025	J	`jnl`	Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting. CoRR Shantanu Ghosh, Vedant Parthesh Joshi, Rayan Syed, Aya Kassem, Abhishek Varshney, Payel Basak, Weicheng Dai, Judy Wawira Gichoya, Hari M. Trivedi, Imon Banerjee, Shyam Visweswaran, Clare B. Poynton, Kayhan Batmanghelich
2025	A	`conf`	Multi-Modal Large Language Models are Effective Vision Learners. WACV Li Sun, Chaitanya Ahuja, Peng Chen, Matt D'Zmura, Kayhan Batmanghelich, Philip Bontrager
2025	—	`conf`	Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation. NAACL (Findings) Chenyu Wang, Weichao Zhou, Shantanu Ghosh, Kayhan Batmanghelich, Wenchao Li
2024	J	`jnl`	DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images. Medical Image Anal. Ke Yu, Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich
2024	—	`conf`	Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination. CAI Xinliu Zhong, Kayhan Batmanghelich, Li Sun
2024	J	`jnl`	LADDER: Language Driven Slice Discovery and Error Rectification. CoRR Shantanu Ghosh, Chenyu Wang, Kayhan Batmanghelich
2024	—	`conf`	Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography. MICCAI (12) Shantanu Ghosh, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich
2024	J	`jnl`	Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography. CoRR Shantanu Ghosh, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich
2024	J	`jnl`	MedSyn: Text-Guided Anatomy-Aware Synthesis of High-Fidelity 3-D CT Images. IEEE Trans. Medical Imaging Yanwu Xu, Li Sun, Wei Peng, Shuyue Jia, Katelyn Morrison, Adam Perer, Afrooz Zandifar, Shyam Visweswaran, Motahhare Eslami, Kayhan Batmanghelich
2024	J	`jnl`	Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation. CoRR Chenyu Wang, Weichao Zhou, Shantanu Ghosh, Kayhan Batmanghelich, Wenchao Li
2023	A	`conf`	Augmentation by Counterfactual Explanation -Fixing an Overconfident Classifier. WACV Sumedha Singla, Nihal Murali, Forough Arabshahi, Sofia Triantafyllou, Kayhan Batmanghelich
2023	J	`jnl`	Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics. Trans. Mach. Learn. Res. Nihal Murali, Aahlad Manas Puli, Ke Yu, Rajesh Ranganath, Kayhan Batmanghelich
2023	J	`jnl`	CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, M. Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
2023	—	`conf`	Distilling BlackBox to Interpretable Models for Efficient Transfer Learning. MICCAI (2) Shantanu Ghosh, Ke Yu, Kayhan Batmanghelich
2023	J	`jnl`	Distilling BlackBox to Interpretable models for Efficient Transfer Learning. CoRR Shantanu Ghosh, Ke Yu, Kayhan Batmanghelich
2023	A*	`conf`	Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. ICML Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich
2023	J	`jnl`	Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. CoRR Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich
2023	J	`jnl`	DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images. CoRR Ke Yu, Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich
2023	J	`jnl`	Explaining the black-box smoothly - A counterfactual approach. Medical Image Anal. Sumedha Singla, Motahhare Eslami, Brian Pollack, Stephen Wallace, Kayhan Batmanghelich
2023	J	`jnl`	Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance. CoRR Shantanu Ghosh, Kayhan Batmanghelich
2023	—	`conf`	From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding. ACL (1) Li Sun, Florian Luisier, Kayhan Batmanghelich, Dinei A. F. Florêncio, Cha Zhang
2023	J	`jnl`	From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding. CoRR Li Sun, Florian Luisier, Kayhan Batmanghelich, Dinei A. F. Florêncio, Cha Zhang
2023	J	`jnl`	MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images. CoRR Yanwu Xu, Li Sun, Wei Peng, Shyam Visweswaran, Kayhan Batmanghelich
2023	—	`conf`	Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography. MICCAI (10) Matthew Ragoza, Kayhan Batmanghelich
2023	J	`jnl`	Route, Interpret, Repeat: Blurring the Line Between Post hoc Explainability and Interpretable Models. CoRR Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich
2023	A*	`conf`	Semi-Implicit Denoising Diffusion Models (SIDDMs). NeurIPS Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou
2023	J	`jnl`	Semi-Implicit Denoising Diffusion Models (SIDDMs). CoRR Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou
2023	J	`jnl`	Shortcut Learning Through the Lens of Early Training Dynamics. CoRR Nihal Murali, Aahlad Manas Puli, Ke Yu, Rajesh Ranganath, Kayhan Batmanghelich
2023	—	`conf`	Time-Series Aware Metrics for the Evaluation of Intraoperative Electroencephalography-Based Ischemia Detection. MedInfo Amir I. Mina, Jeremy U. Espino, Allison M. Bradley, Parthasarathy Thirumala, Kayhan Batmanghelich, Shyam Visweswaran
2023	J	`jnl`	Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling. CoRR Ke Yu, Stephen Albro, Giulia DeSalvo, Suraj Kothawade, Abdullah Rashwan, Sasan Tavakkol, Kayhan Batmanghelich, Xiaoqi Yin
2022	—	`conf`	Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation. MICCAI (8) Yanwu Xu, Shaoan Xie, Maxwell Reynolds, Matthew Ragoza, Mingming Gong, Kayhan Batmanghelich
2022	J	`jnl`	Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation. CoRR Yanwu Xu, Shaoan Xie, Maxwell Reynolds, Matthew Ragoza, Mingming Gong, Kayhan Batmanghelich
2022	—	`conf`	Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. MICCAI (5) Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich
2022	J	`jnl`	Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. CoRR Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich
2022	J	`jnl`	Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier. CoRR Sumedha Singla, Nihal Murali, Forough Arabshahi, Sofia Triantafyllou, Kayhan Batmanghelich
2022	J	`jnl`	Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network. CoRR Li Sun, Ke Yu, Kayhan Batmanghelich
2022	J	`jnl`	CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
2022	J	`jnl`	Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis. IEEE J. Biomed. Health Informatics Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich
2022	J	`jnl`	Hyperbolic Molecular Representation Learning for Drug Repositioning. CoRR Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich
2022	A*	`conf`	Knowledge Distillation via Constrained Variational Inference. AAAI Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-Wei H. Lehman
2022	A*	`conf`	Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation. CVPR Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich
2022	J	`jnl`	Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation. CoRR Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich
2021	J	`jnl`	Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision. CoRR Yanwu Xu, Mingming Gong, Shaoan Xie, Kayhan Batmanghelich
2021	A*	`conf`	Can contrastive learning avoid shortcut solutions? NeurIPS Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra
2021	J	`jnl`	Can contrastive learning avoid shortcut solutions? CoRR Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra
2021	A*	`conf`	Context Matters: Graph-based Self-supervised Representation Learning for Medical Images. AAAI Li Sun, Ke Yu, Kayhan Batmanghelich
2021	J	`jnl`	Explaining the Black-box Smoothly- A Counterfactual Approach. CoRR Sumedha Singla, Brian Pollack, Stephen Wallace, Kayhan Batmanghelich
2021	—	`conf`	Extracting Disease-Relevant Features with Adversarial Regularization. BIBM Junxiang Chen, Li Sun, Ke Yu, Kayhan Batmanghelich
2021	—	`conf`	Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach. MLHC Ardavan Saeedi, Payman Yadollahpour, Sumedha Singla, Brian Pollack, William M. Wells III, Frank C. Sciurba, Kayhan Batmanghelich
2021	J	`jnl`	Self-Supervised Vessel Enhancement Using Flow-Based Consistencies. CoRR Rohit Jena, Sumedha Singla, Kayhan Batmanghelich
2021	—	`conf`	Self-supervised Vessel Enhancement Using Flow-Based Consistencies. MICCAI (2) Rohit Jena, Sumedha Singla, Kayhan Batmanghelich
2021	J	`jnl`	Unpaired data empowers association tests. Bioinform. Mingming Gong, Peng Liu, Frank C. Sciurba, Petar Stojanov, Dacheng Tao, George C. Tseng, Kun Zhang, Kayhan Batmanghelich
2021	—	`conf`	Using Causal Analysis for Conceptual Deep Learning Explanation. MICCAI (3) Sumedha Singla, Stephen Wallace, Sofia Triantafillou, Kayhan Batmanghelich
2021	J	`jnl`	Using Causal Analysis for Conceptual Deep Learning Explanation. CoRR Sumedha Singla, Stephen Wallace, Sofia Triantafillou, Kayhan Batmanghelich
2020	J	`jnl`	Context Matters: Graph-based Self-supervised Representation Learning for Medical Images. CoRR Li Sun, Ke Yu, Kayhan Batmanghelich
2020	A*	`conf`	Explanation by Progressive Exaggeration. ICLR Sumedha Singla, Brian Pollack, Junxiang Chen, Kayhan Batmanghelich
2020	A*	`conf`	Generative-Discriminative Complementary Learning. AAAI Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich
2020	J	`jnl`	Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN. CoRR Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich
2020	Misc	`conf`	Human-Machine Collaboration for Medical Image Segmentation. ICASSP Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi
2020	A*	`conf`	Label-Noise Robust Domain Adaptation. ICML Xiyu Yu, Tongliang Liu, Mingming Gong, Kun Zhang, Kayhan Batmanghelich, Dacheng Tao
2020	J	`jnl`	Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space. CoRR Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich
2020	J	`jnl`	Semi-supervised Hierarchical Drug Embedding in Hyperbolic Space. J. Chem. Inf. Model. Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich
2020	A*	`conf`	Weakly Supervised Disentanglement by Pairwise Similarities. AAAI Junxiang Chen, Kayhan Batmanghelich
2019	J	`jnl`	Explanation by Progressive Exaggeration. CoRR Sumedha Singla, Brian Pollack, Junxiang Chen, Kayhan Batmanghelich
2019	J	`jnl`	Generative-Discriminative Complementary Learning. CoRR Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich
2019	A*	`conf`	Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping. CVPR Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao
2019	J	`jnl`	Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach. CoRR Yipeng Mou, Mingming Gong, Huan Fu, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao
2019	J	`jnl`	Robust Angular Local Descriptor Learning. CoRR Yanwu Xu, Mingming Gong, Tongliang Liu, Kayhan Batmanghelich, Chaohui Wang
2019	J	`jnl`	Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement. CoRR Junxiang Chen, Kayhan Batmanghelich
2019	A*	`conf`	Twin Auxilary Classifiers GAN. NeurIPS Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich
2019	J	`jnl`	Twin Auxiliary Classifiers GAN. CoRR Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich
2019	J	`jnl`	Weakly Supervised Disentanglement by Pairwise Similarities. CoRR Junxiang Chen, Kayhan Batmanghelich
2018	A*	`conf`	An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption. CVPR Xiyu Yu, Tongliang Liu, Mingming Gong, Kayhan Batmanghelich, Dacheng Tao
2018	A	`conf`	Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results. UAI Kun Zhang, Mingming Gong, Joseph D. Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour
2018	J	`jnl`	Causal Generative Domain Adaptation Networks. CoRR Mingming Gong, Kun Zhang, Biwei Huang, Clark Glymour, Dacheng Tao, Kayhan Batmanghelich
2018	A*	`conf`	Deep Ordinal Regression Network for Monocular Depth Estimation. CVPR Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao
2018	J	`jnl`	Deep Ordinal Regression Network for Monocular Depth Estimation. CoRR Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao
2018	J	`jnl`	Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping. CoRR Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao
2018	—	`conf`	Multi-scale Masked 3-D U-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2) Yanwu Xu, Mingming Gong, Huan Fu, Dacheng Tao, Kun Zhang, Kayhan Batmanghelich
2018	—	`conf`	Robust Angular Local Descriptor Learning. ACCV (5) Yanwu Xu, Mingming Gong, Tongliang Liu, Kayhan Batmanghelich, Chaohui Wang
2017	—	`conf`	BatmanLab in the ImageCLEF Tuberculosis task 2017. CLEF (Working Notes) Yashin Dicente Cid, Henning Müller, Kayhan Batmanghelich
2017	J	`jnl`	Causal Discovery in the Presence of Measurement Error: Identifiability Conditions. CoRR Kun Zhang, Mingming Gong, Joseph D. Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour
2017	—	`conf`	Textured Graph-Based Model of the Lungs: Application on Tuberculosis Type Classification and Multi-drug Resistance Detection. CLEF Yashin Dicente Cid, Kayhan Batmanghelich, Henning Müller
2017	—	`conf`	Textured Graph-model of the Lungs for Tuberculosis Type Classification and Drug Resistance Prediction: Participation in ImageCLEF 2017. CLEF (Working Notes) Yashin Dicente Cid, Kayhan Batmanghelich, Henning Müller
2017	J	`jnl`	Transformations Based on Continuous Piecewise-Affine Velocity Fields. IEEE Trans. Pattern Anal. Mach. Intell. Oren Freifeld, Søren Hauberg, Kayhan Batmanghelich, John W. Fisher III