KB
Kayhan Batmanghelich
cs.CVcs.LGeess.IVstat.MLcs.AIcs.CLImaging, Three-DimensionalTomography, X-Ray ComputedConvolutional Neural Network (CNN)cs.CY
On Valency
published · living versionsW_ctyr365s·v1 · currentpublished
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
with Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer +422
1 version
Preprints & journals
88 papers in the corpus · 2010–2026PhyDiCT: Plug-and-Play CT Reconstruction from Sparse X-Rays via Differentiable Rendering and Strong Priors2610.09253v1 · Weicheng Dai, Shantanu Ghosh, Kayhan Batmanghelich2026 · 0 citationsMICCAI 2026, LNCS 16888, pp. 392-402, Springer (2027)
BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization2608.10271v1 · Hongyi Pan, Gorkem Durak, Halil Ertugrul Aktas et al.2026 · 0 citationsarXiv
Hybrid novice-AI system achieves expert-level performance in intraoperative ischemia detection.42620188 · Murali, Nihal, Mina, Amir I, Sinha, Harsh et al.2026 · 0 citationsmedRxiv : the preprint server for health sciences. 2026
Machine learning to detect intraoperative ischemia from electroencephalography in carotid endarterectomy surgery.42620473 · Visweswaran, Shyam, Nourelahi, Mehdi, Mina, Amir I et al.2026 · 0 citationsmedRxiv : the preprint server for health sciences. 2026
MedSyn2: Flexible Control of 3D CT Generation via Text and Semantically-Defined Segmentation Prompts2606.00967v3 · Weicheng Dai, Chenyu Wang, Binxu Li et al.2026 · 0 citationsarXiv
Enhancing Fine-Grained Spatial Grounding in 3D CT Report Generation via Discriminative Guidance2604.10437v1 · Chenyu Wang, Weicheng Dai, Han Liu et al.2026 · 0 citationsarXiv
Generalist foundation models from a multimodal dataset for 3D computed tomography.41680439 · Hamamci, Ibrahim Ethem, Er, Sezgin, Wang, Chenyu et al.2026 · 106 citationsNature biomedical engineering. 2026;10(8):1610-1628
VLM-UQBench: A Benchmark for Modality-Specific and Cross-Modality Uncertainties in Vision Language Models2602.09214v1 · Chenyu Wang, Tianle Chen, H. M. Sabbir Ahmad et al.2026 · 0 citationsarXiv
A Cautionary Tale of Self-Supervised Learning for Imaging Biomarkers: Alzheimer's Disease Case Study2601.16467v1 · Maxwell Reynolds, Chaitanya Srinivasan, Vijay Cherupally et al.2026 · 0 citationsarXiv
Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting2512.00198v3 · Shantanu Ghosh, Vedant Parthesh Joshi, Rayan Syed et al.2025 · 1 citationarXiv
A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in Radiology2507.16207v2 · Katelyn Morrison, Arpit Mathur, Aidan Bradshaw et al.2025 · 2 citationsarXiv
Performance of Natural Language Processing versus International Classification of Diseases Codes in Building Registries for Patients With Fall Injury: Retrospective Analysis.40658984 · Taseh, Atta, Sasanfar, Souri, Chan, Michelle et al.2025 · 3 citationsJMIR medical informatics. 2025;13:e66973
LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers.41488129 · Ghosh, Shantanu, Syed, Rayan, Wang, Chenyu et al.2026 · 1 citationFindings of ACL. ACL. 2025;2025:22935-22970
Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination2506.01902v1 · Xinliu Zhong, Kayhan Batmanghelich, Li Sun2025 · 2 citations2024 IEEE Conference on Artificial Intelligence (CAI), 2024, 480-485
Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation.41488130 · Wang, Chenyu, Zhou, Weichao, Ghosh, Shantanu et al.2026 · 3 citationsFindings of ACL. NAACL. 2025;2025:1739-1754
MedSyn: Text-Guided Anatomy-Aware Synthesis of High-Fidelity 3-D CT Images.38900619 · Xu, Yanwu, Sun, Li, Peng, Wei et al.2024 · 52 citationsIEEE transactions on medical imaging. 2024;43(10):3648-3660
Natural Language Processing Algorithms Outperform ICD Codes in the Development of Fall Injuries Registry10.1101/2024.09.26.24314444v1 · Taseh, A., Sasanfar, S., Chan, J.-Z. M. et al.2024 · 1 citationmedRxiv
Anatomy-specific Progression Classification in Chest Radiographs via Weakly Supervised Learning.39046325 · Yu, Ke, Ghosh, Shantanu, Liu, Zhexiong et al.2024 · 5 citationsRadiology. Artificial intelligence. 2024;6(5):e230277
High-dimensional causal mediation analysis by partial sum statistic and sample splitting strategy in imaging genetics application.38978660 · Hung-Ching, Chang, Yusi, Fang, Gorczyca, Michael T et al.2025 · 2 citationsmedRxiv : the preprint server for health sciences. 2024
Detecting Cerebral Ischemia From Electroencephalography During Carotid Endarterectomy Using Machine Learning.38827046 · Mina, Amir I, Espino, Jessi U, Bradley, Allison M et al.2024 · 0 citationsAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. 2024;2024:613-622
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography2405.12255v2 · Shantanu Ghosh, Clare B. Poynton, Shyam Visweswaran et al.2024 · 42 citationsarXiv
Time-Series Aware Metrics for the Evaluation of Intraoperative Electroencephalography-Based Ischemia Detection.38269808 · Mina, Amir I, Espino, Jeremy U, Bradley, Allison M et al.2024 · 1 citationStudies in health technology and informatics. 2024;310:274-278
DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images.38086236 · Yu, Ke, Sun, Li, Chen, Junxiang et al.2024 · 24 citationsMedical image analysis. 2024;92:103062
Semi-Implicit Denoising Diffusion Models (SIDDMs).39130612 · Xu, Yanwu, Gong, Mingming, Xie, Shaoan et al.2024 · 6 citationsAdvances in neural information processing systems. 2023;36:17383-17394
Deep Learning Integration of Chest Computed Tomography Imaging and Gene Expression Identifies Novel Aspects of COPD.37413999 · Chen, Junxiang, Xu, Zhonghui, Sun, Li et al.2023 · 7 citationsChronic obstructive pulmonary diseases (Miami, Fla.). 2023;10(4):355-368
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics.38645403 · Murali, Nihal, Puli, Aahlad, Yu, Ke et al.2026 · 0 citationsTransactions on machine learning research. 2023;2023
Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography.38827227 · Ragoza, Matthew, Batmanghelich, Kayhan2024 · 13 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2023;14229:333-343
Distilling BlackBox to Interpretable Models for Efficient Transfer Learning.38827244 · Ghosh, Shantanu, Yu, Ke, Batmanghelich, Kayhan2026 · 2 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2023;14221:628-638
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling2309.16139v1 · Ke Yu, Stephen Albro, Giulia DeSalvo et al.2023 · 1 citationarXiv
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance2307.13698v1 · Shantanu Ghosh, Kayhan Batmanghelich2023 · 0 citationsarXiv
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat.37711878 · Ghosh, Shantanu, Yu, Ke, Arabshahi, Forough et al.2025 · 2 citationsProceedings of machine learning research. 2023;202:11360-11397
Semi-Implicit Denoising Diffusion Models (SIDDMs)2306.12511v3 · Yanwu Xu, Mingming Gong, Shaoan Xie et al.2023 · 6 citationsarXiv
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding2305.14571v2 · Li Sun, Florian Luisier, Kayhan Batmanghelich et al.2023 · 1 citationarXiv
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images2302.10390v2 · Ke Yu, Li Sun, Junxiang Chen et al.2023 · 0 citationsarXiv
Tackling Shortcut Learning in Deep Neural Networks: An Iterative Approach with Interpretable Models2302.10289v9 · Shantanu Ghosh, Ke Yu, Forough Arabshahi et al.2023 · 1 citationarXiv
ComBat Harmonization: Empirical Bayes versus fully Bayes approaches.37506457 · Reynolds, Maxwell, Chaudhary, Tigmanshu, Eshaghzadeh Torbati, Mahbaneh et al.2023 · 37 citationsNeuroImage. Clinical. 2023;39:103472
Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier.37724183 · Singla, Sumedha, Murali, Nihal, Arabshahi, Forough et al.2023 · 7 citationsIEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision. 2023;2023:4709-4719
Explaining the black-box smoothly-A counterfactual approach.36571975 · Singla, Sumedha, Eslami, Motahhare, Pollack, Brian et al.2023 · 102 citationsMedical image analysis. 2023;84:102721
Deep Learning Integration of Chest CT Imaging and Gene Expression Identifies Novel Aspects of COPD10.1101/2022.09.26.22280242v2 · Chen, J., Xu, Z., Sun, L. et al.2022 · 1 citationmedRxiv
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.36283200 · Dorent, Reuben, Kujawa, Aaron, Ivory, Marina et al.2022 · 97 citationsMedical image analysis. 2023;83:102628
Automated detection of premalignant oral lesions on whole slide images using convolutional neural networks.36126604 · Liu, Yingci, Bilodeau, Elizabeth, Pollack, Brian et al.2022 · 36 citationsOral oncology. 2022;134:106109
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation.38859913 · Xu, Yanwu, Xie, Shaoan, Reynolds, Maxwell et al.2024 · 39 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2022;13437:671-681
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays.38952749 · Yu, Ke, Ghosh, Shantanu, Liu, Zhexiong et al.2024 · 30 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2022;13435:658-668
Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis.35522642 · Sun, Li, Chen, Junxiang, Xu, Yanwu et al.2022 · 127 citationsIEEE journal of biomedical and health informatics. 2022;26(8):3966-3975
Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network2207.02957v1 · Li Sun, Ke Yu, Kayhan Batmanghelich2022 · 1 citationarXiv
Hyperbolic Molecular Representation Learning for Drug Repositioning2208.06361v1 · Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich2022 · 0 citationsarXiv
Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation2203.12707v2 · Yanwu Xu, Shaoan Xie, Wenhao Wu et al.2022 · 27 citationsarXiv
Knowledge Distillation via Constrained Variational Inference.36092768 · Saeedi, Ardavan, Utsumi, Yuria, Sun, Li et al.2023 · 4 citationsProceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence. 2022;36(7):8132-8140
Extracting Disease-Relevant Features with Adversarial Regularization.35198261 · Chen, Junxiang, Sun, Li, Yu, Ke et al.2022 · 0 citationsProceedings. IEEE International Conference on Bioinformatics and Biomedicine. 2021;2021:3464-3471
Can contrastive learning avoid shortcut solutions?35546903 · Robinson, Joshua, Sun, Li, Yu, Ke et al.2024 · 48 citationsAdvances in neural information processing systems. 2021;34:4974-4986
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