Kayhan Batmanghelich
Orcid: 0000-0001-9893-9136Affiliations:
- University of Pittsburgh, Department of Biomedical Informatics, PA, USA
- Massachusetts Institute of Technology (MIT), Computer Science and Artificial Intelligence Lab (former)
- University of Pennsylvania, Section of Biomedical Image Analysis (former)
According to our database1,
Kayhan Batmanghelich
authored at least 83 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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Bibliography
2024
DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images.
Medical Image Anal., February, 2024
2023
Medical Image Anal., 2023
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal., 2023
CoRR, 2023
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling.
CoRR, 2023
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance.
CoRR, 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images.
CoRR, 2023
Route, Interpret, Repeat: Blurring the Line Between Post hoc Explainability and Interpretable Models.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Time-Series Aware Metrics for the Evaluation of Intraoperative Electroencephalography-Based Ischemia Detection.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat.
Proceedings of the International Conference on Machine Learning, 2023
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network.
CoRR, 2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Machine Learning for Healthcare Conference, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
J. Chem. Inf. Model., 2020
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR, 2018
CoRR, 2018
Brain Informatics, 2018
Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
IEEE Trans. Pattern Anal. Mach. Intell., 2017
CoRR, 2017
A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies.
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the Working Notes of CLEF 2017, 2017
Textured Graph-Based Model of the Lungs: Application on Tuberculosis Type Classification and Multi-drug Resistance Detection.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017
Textured Graph-model of the Lungs for Tuberculosis Type Classification and Drug Resistance Prediction: Participation in ImageCLEF 2017.
Proceedings of the Working Notes of CLEF 2017, 2017
2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
2015
Proceedings of the Information Processing in Medical Imaging, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
2014
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014
2013
Proceedings of the Information Processing in Medical Imaging, 2013
2012
IEEE Trans. Medical Imaging, 2012
An Integrated Framework for High Angular Resolution Diffusion Imaging-Based Investigation of Structural Connectivity.
Brain Connect., 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Application of trace-norm and low-rank matrix decomposition for computational anatomy.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification.
Proceedings of the Information Processing in Medical Imaging, 2009
2008
Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline.
NeuroImage, 2008
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
On non-linear characterization of tissue abnormality by constructing disease manifolds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008
2006
Distributed Behavior-based Multi-agent System for Automatic Segmentation of Brain MR Images.
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Knowledge-based segmentation: Using simultaneous shape and histogram information to segment brain structures.
Proceedings of the Signal and Image Processing (SIP 2005), 2005