K. Batmanghelich

发表

Deep Ordinal Regression Network for Monocular Depth Estimation

Dacheng Tao, Mingming Gong, Chaohui Wang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

J. Trojanowski, K. Batmanghelich, C. Davatzikos, 2011, Neurobiology of Aging.

Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping

D. Tao, Mingming Gong, Kun Zhang, 2018, ArXiv.

Generative Interpretability: Application in Disease Subtyping

Ardavan Saeedi, Payman Yadollahpour, K. Batmanghelich, 2019 .

Algorithmic Aspects of Machine Learning, Textbook

Pratiksha Thaker, Adrian Vladu, K. Batmanghelich, 2014 .

Causal Generative Domain Adaptation Networks pdf

Dacheng Tao, Mingming Gong, Clark Glymour, 2018, ArXiv.

BrainPrint in the Computer-Aided Diagnosis of Alzheimer ’ s Disease

K. Batmanghelich, P. Golland, P. Golland, 2014 .

Introduction to Spatial First Order Discrete HMM

Vahid Rezaei Tabar, K. Batmanghelich, A. Bahrampour, 2018 .

Probabilistic Graphical Models 10-708 , Spring 2018 11 : CRF + Intro to Topic Models

Kayhan Batmanghelich, K. Batmanghelich, Scribes Anqi Yang, 2018 .

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation pdf

Sergio Escalera, Ben Glocker, Benoit M. Dawant, 2022, ArXiv.

Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network

K. Batmanghelich, K. Yu, Li Sun, 2022, ArXiv.

ComBat Harmonization: Empirical Bayes versus Fully Bayes Approaches

Mahbaneh Eshaghzadeh Torbati, K. Batmanghelich, D. Tudorascu, 2022, bioRxiv.

Hyperbolic Molecular Representation Learning for Drug Repositioning

K. Batmanghelich, K. Yu, S. Visweswaran, 2022, ArXiv.

Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis

Mingming Gong, K. Batmanghelich, K. Yu, 2022, IEEE Journal of Biomedical and Health Informatics.

Deep Learning Integration of Chest CT Imaging and Gene Expression Identifies Novel Aspects of COPD

J. Hokanson, E. Silverman, K. Batmanghelich, 2022, medRxiv.

Automated detection of premalignant oral lesions on whole slide images using convolutional neural networks.

K. Batmanghelich, E. Bilodeau, Yingci Liu, 2022, Oral oncology.

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation

Maria G. Baldeon Calisto, Jae Won Choi, B. Dawant, 2022, Medical Image Analysis.

of Voxel-Level Liver Stiffness in Patients with Nonalcoholic Fatty Liver Disease

K. Batmanghelich, A. Furlan, E. Gordon, 2021 .

Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays

K. Batmanghelich, K. Yu, C. Deible, 2022, MICCAI.

Augmentation by Counterfactual Explanation -Fixing an Overconfident Classifier

K. Batmanghelich, Forough Arabshahi, Sumedha Singla, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Textured Graph-Based Model of the Lungs: Application on Tuberculosis Type Classification and Multi-drug Resistance Detection

Henning Müller, Yashin Dicente Cid, Kayhan Batmanghelich, 2018, Conference and Labs of the Evaluation Forum.

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation

Maria G. Baldeon Calisto, Jae Won Choi, B. Dawant, 2022, Medical Image Anal..

Extracting Disease-Relevant Features with Adversarial Regularization

K. Batmanghelich, Junxiang Chen, Li Sun, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Weakly Supervised Disentanglement by Pairwise Similarities

Kayhan Batmanghelich, Junxiang Chen, K. Batmanghelich, 2019, AAAI.

Explanation by Progressive Exaggeration

K. Batmanghelich, Sumedha Singla, Junxiang Chen, 2019, ICLR.

Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space

Shyam Visweswaran, Kayhan Batmanghelich, Ke Yu, 2020, J. Chem. Inf. Model..

Unpaired data empowers association tests

Peng Liu, Petar Stojanov, Kayhan Batmanghelich, 2019, bioRxiv.

Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping

Kun Zhang, Dacheng Tao, Mingming Gong, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Medical Image Analysis

K. Batmanghelich, Sumedha Singla, Brian Pollack, 2022 .

Using Causal Analysis for Conceptual Deep Learning Explanation

Kayhan Batmanghelich, Sofia Triantafillou, Sumedha Singla, 2021, MICCAI.

Can contrastive learning avoid shortcut solutions? pdf

Suvrit Sra, Joshua Robinson, Stefanie Jegelka, 2021, NeurIPS.

Context Matters: Graph-based Self-supervised Representation Learning for Medical Images pdf

Li Sun, Ke Yu, Kayhan Batmanghelich, 2020, AAAI.

Knowledge Distillation via Constrained Variational Inference

Li-wei H. Lehman, Ardavan Saeedi, K. Batmanghelich, 2022, AAAI.

Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement pdf

Kayhan Batmanghelich, Junxiang Chen, K. Batmanghelich, 2019, ArXiv.

Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation

Mingming Gong, Shaoan Xie, K. Batmanghelich, 2022, MICCAI.

Human-Machine Collaboration for Medical Image Segmentation

V. Tresp, M. Nabi, F. Last, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Twin Auxilary Classifiers GAN

Kun Zhang, Yanwu Xu, Kayhan Batmanghelich, 2019, NeurIPS.

Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results

Kun Zhang, Mingming Gong, Clark Glymour, 2018, UAI.

An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption

Dacheng Tao, Mingming Gong, Kayhan Batmanghelich, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat

K. Batmanghelich, K. Yu, Forough Arabshahi, 2023, 2302.10289.

Route, Interpret, Repeat: Blurring the Line Between Post hoc Explainability and Interpretable Models

K. Batmanghelich, K. Yu, Forough Arabshahi, 2023, ArXiv.

Uncertainty-Driven Semantic Segmentation through Human-Machine Collaborative Learning

Tassilo Klein, Mahdyar Ravanbakhsh, Moin Nabi, 2019, 1909.00626.

Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis pdf

Li Sun, Yanwu Xu, Ke Yu, 2020, IEEE Journal of Biomedical and Health Informatics.

Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat

K. Batmanghelich, K. Yu, Forough Arabshahi, 2023, ICML.

Tackling Shortcut Learning in Deep Neural Networks: An Iterative Approach with Interpretable Models

K. Batmanghelich, K. Yu, Forough Arabshahi, 2023, 2302.10289.

DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images

K. Batmanghelich, K. Yu, Junxiang Chen, 2023, ArXiv.

Label-Noise Robust Domain Adaptation

Dacheng Tao, Kun Zhang, Kayhan Batmanghelich, 2020, ICML.

From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding

K. Batmanghelich, D. Florêncio, F. Luisier, 2023, ACL.

Generative-Discriminative Complementary Learning

Kun Zhang, Mingming Gong, Tongliang Liu, 2019, AAAI.

Semi-Implicit Denoising Diffusion Models (SIDDMs)

Tingbo Hou, Shaoan Xie, K. Batmanghelich, 2023, ArXiv.

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation

Mingming Gong, Shaoan Xie, K. Batmanghelich, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ComBat Harmonization: Empirical Bayes versus fully Bayes approaches

Mahbaneh Eshaghzadeh Torbati, K. Batmanghelich, D. Tudorascu, 2023, NeuroImage: Clinical.

Causal Discovery in the Presence of Measurement Error: Identifiability Conditions pdf

Mingming Gong, Clark Glymour, Kun Zhang, 2017, ArXiv.

Transfer Learning with Label Noise

Kun Zhang, Dacheng Tao, Mingming Gong, 2017, 1707.09724.

Improving clinical disease subtyping and future events prediction through a chest CT‐based deep learning approach

Mingming Gong, K. Batmanghelich, F. Sciurba, 2020, Medical Physics (Lancaster).

Distilling BlackBox to Interpretable models for Efficient Transfer Learning

K. Batmanghelich, K. Yu, Shantanu Ghosh, 2023, ArXiv.

Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics

R. Ranganath, K. Batmanghelich, A. Puli, 2023, 2302.09344.

Deep Learning Integration of Chest Computed Tomography Imaging and Gene Expression Identifies Novel Aspects of COPD

J. Hokanson, E. Silverman, K. Batmanghelich, 2023 .

Twin Auxiliary Classifiers GAN

Mingming Gong, Yanwu Xu, Kayhan Batmanghelich, 2019, Advances in neural information processing systems.

Label-Noise Robust Domain Adaptation Supplementary Material

D. Tao, Mingming Gong, Kun Zhang, 2020 .

Transformations Based on Continuous Piecewise-Affine Velocity Fields

Søren Hauberg, Kayhan Batmanghelich, Oren Freifeld, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

3D-BoxSup: Positive-Unlabeled Learning of Brain Tumor Segmentation Networks From 3D Bounding Boxes

Yanwu Xu, Kayhan Batmanghelich, Junxiang Chen, 2020, Frontiers in Neuroscience.

Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision pdf

Mingming Gong, Kayhan Batmanghelich, Yanwu Xu, 2021, ArXiv.

MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images

K. Batmanghelich, S. Visweswaran, Yanwu Xu, 2023, ArXiv.

Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance

K. Batmanghelich, Shantanu Ghosh, 2023, ArXiv.

Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics

R. Ranganath, K. Batmanghelich, A. Puli, 2023, 2302.09344.

Semi-Implicit Denoising Diffusion Models (SIDDMs)

Tingbo Hou, Shaoan Xie, K. Batmanghelich, 2023, ArXiv.

Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling

K. Batmanghelich, S. Kothawade, S. Tavakkol, 2023, 2309.16139.