Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images. - Kilian M. Pohl; William M. Wells III; Alexandre Guimond; Kiyoto Kasai; Martha Elizabeth Shenton; Ron Kikinis; W. Eric L. Grimson; Simon K. Warfield (MICCAI (1), 2002)

Anatomical Guided Segmentation with Non-Stationary Tissue Class Distributions in an Expectation-Maximization Framework. - Kilian M. Pohl; W. Eric L. Grimson; Sylvain Bouix; Ron Kikinis (ISBI, 2004)

Coupling Statistical Segmentation and PCA Shape Modeling. - Kilian M. Pohl; Simon K. Warfield; Ron Kikinis; W. Eric L. Grimson; William M. Wells III (MICCAI (1), 2004)

Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images. - Kilian M. Pohl; John W. Fisher III; Ron Kikinis; W. Eric L. Grimson; William M. Wells III (CVBIA, 2005)

A Unifying Approach to Registration, Segmentation, and Intensity Correction. - Kilian M. Pohl; John W. Fisher III; James J. Levitt; Martha Elizabeth Shenton; Ron Kikinis; W. Eric L. Grimson; William M. Wells III (MICCAI, 2005)

Prior information for brain parcellation. - Kilian M. Pohl (2005)

Logarithm Odds Maps for Shape Representation. - Kilian M. Pohl; John W. Fisher III; Martha Elizabeth Shenton; Robert W. McCarley; W. Eric L. Grimson; Ron Kikinis; William M. Wells III (MICCAI (2), 2006)

A Bayesian model for joint segmentation and registration. - Kilian M. Pohl; John W. Fisher III; W. Eric L. Grimson; Ron Kikinis; William M. Wells III (NeuroImage, 2006)

Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework. - Kilian M. Pohl; Ron Kikinis; William M. Wells III (IPMI, 2007)

Using the logarithm of odds to define a vector space on probabilistic atlases. - Kilian M. Pohl; John W. Fisher III; Sylvain Bouix; Martha Elizabeth Shenton; Robert W. McCarley; W. Eric L. Grimson; Ron Kikinis; William M. Wells III (Medical Image Anal., 2007)

A Hierarchical Algorithm for MR Brain Image Parcellation. - Kilian M. Pohl; Sylvain Bouix; Motoaki Nakamura; Torsten Rohlfing; Robert W. McCarley; Ron Kikinis; W. Eric L. Grimson; Martha Elizabeth Shenton; William M. Wells III (IEEE Trans. Medical Imaging, 2007)

Monitoring slowly evolving tumors. - Ender Konukoglu; William M. Wells III; Sébastien Novellas; Nicholas Ayache; Ron Kikinis; Peter M. Black; Kilian M. Pohl (ISBI, 2008)

Image Registration Assists Novice Operators in Ultrasound Assessment of Abdominal Trauma. - Kirby G. Vosburgh; Jeffrey A. Stoll; Vicki Noble; Kilian M. Pohl; Raúl San José Estépar; Barnabás Takács (MMVR, 2008)

A Unified Framework for MR Based Disease Classification. - Kilian M. Pohl; Mert R. Sabuncu (IPMI, 2009)

Shape-based similarity retrieval of Doppler images for clinical decision support. - Tanveer Fathima Syeda-Mahmood; Pavan K. Turaga; David Beymer; Fei Wang 002; Arnon Amir; Hayit Greenspan; Kilian M. Pohl (CVPR, 2010)

Groupwise morphometric analysis based on high dimensional clustering. - Dong Hye Ye; Kilian M. Pohl; Harold Litt; Christos Davatzikos (CVPR Workshops, 2010)

AALIM: A Cardiac Clinical Decision Support System Powered By Advanced Multi-modal Analytics. - Arnon Amir; David Beymer; Julia Grace; Hayit Greenspan; Daniel Gruhl; Allen Hobbs; Kilian M. Pohl; Tanveer F. Syeda-Mahmood; Joseph Terdiman; Fei Wang 002 (MedInfo, 2010)

Morphological Classification: Application to Cardiac MRI of Tetralogy of Fallot. - Dong Hye Ye; Harold Litt; Christos Davatzikos; Kilian M. Pohl (FIMH, 2011)

Disease classification and prediction via semi-supervised dimensionality reduction. - Kayhan N. Batmanghelich; Dong Hye Ye; Kilian M. Pohl; Ben Taskar; Christos Davatzikos (ISBI, 2011)

Automated segmentation of cortical necrosis using awavelet based abnormality detection system. - Bilwaj Gaonkar; Güray Erus; Kilian M. Pohl; Manoj Tanwar; Stefan Margiewicz; R. Nick Bryan; Christos Davatzikos (ISBI, 2011)

Pattern Based Morphometry. - Bilwaj Gaonkar; Kilian M. Pohl; Christos Davatzikos (MICCAI (2), 2011)

Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model. - Ali Gooya; Kilian M. Pohl; Michel Bilello; George Biros; Christos Davatzikos (MICCAI (2), 2011)

Semi-supervised Pattern Classification: Application to Structural MRI of Alzheimer's Disease. - Dong Hye Ye; Kilian M. Pohl; Christos Davatzikos (PRNI, 2011)

Non-rigid registration guided by landmarks and learning. - Jutta Eckl; Volker Daum; Joachim Hornegger; Kilian M. Pohl (ISBI, 2012)

Automatic segmentation of breast carcinomas from DCE-MRI using a Statistical Learning Algorithm. - Jagadeesan Jayender; Kirby G. Vosburgh; Eva Gombos; Ahmad Ashraf; Despina Kontos; Sara Gavenonis; Ferenc A. Jolesz; Kilian M. Pohl (ISBI, 2012)

Nonrigid volume registration using second-order MRF model. - Dongjin Kwon; Il Dong Yun; Kilian M. Pohl; Christos Davatzikos; Sang Uk Lee (ISBI, 2012)

Segmentation of myocardium using deformable regions and graph cuts. - Mustafa Gökhan Uzunbas; Shaoting Zhang 001; Kilian M. Pohl; Dimitris N. Metaxas; Leon Axel (ISBI, 2012)

Combining regional metrics for disease-related brain population analysis. - Dong Hye Ye; Jihun Hamm; Kilian M. Pohl (ISBI, 2012)

Temporal Shape Analysis via the Spectral Signature. - Elena Bernardis; Ender Konukoglu; Yangming Ou; Dimitris N. Metaxas; Benoit Desjardins; Kilian M. Pohl (MICCAI (2), 2012)

Regional Manifold Learning for Deformable Registration of Brain MR Images. - Dong Hye Ye; Jihun Hamm; Dongjin Kwon; Christos Davatzikos; Kilian M. Pohl (MICCAI (3), 2012)

Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration. - Yangming Ou; Dong Hye Ye; Kilian M. Pohl; Christos Davatzikos (WBIR, 2012)

GLISTR: Glioma Image Segmentation and Registration. - Ali Gooya; Kilian M. Pohl; Michel Bilello; Luigi Cirillo; George Biros; Elias R. Melhem; Christos Davatzikos (IEEE Trans. Medical Imaging, 2012)

Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity. - Ender Konukoglu; Ben Glocker; Dong Hye Ye; Antonio Criminisi; Kilian M. Pohl (IEEE Trans. Medical Imaging, 2012)

Extracting Evolving Pathologies via Spectral Clustering. - Elena Bernardis; Kilian M. Pohl; Christos Davatzikos (IPMI, 2013)

Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering. - Birkan Tunç; Alex R. Smith; Demian Wassermann; Xavier Pennec; William M. Wells III; Ragini Verma; Kilian M. Pohl (IPMI, 2013)

Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models. - Mustafa Gökhan Uzunbas; Chao Chen 012; Shaoting Zhang 001; Kilian M. Pohl; Kang Li 004; Dimitris N. Metaxas (MICCAI (2), 2013)

FLOOR: Fusing Locally Optimal Registrations. - Dong Hye Ye; Jihun Hamm; Benoit Desjardins; Kilian M. Pohl (MICCAI (3), 2013)

WESD-Weighted Spectral Distance for Measuring Shape Dissimilarity. - Ender Konukoglu; Ben Glocker; Antonio Criminisi; Kilian M. Pohl (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Auto-encoding of discriminating morphometry from cardiac MRI. - Dong Hye Ye; Benoit Desjardins; Victor Ferrari; Dimitris N. Metaxas; Kilian M. Pohl (ISBI, 2014)

PORTR: Pre-Operative and Post-Recurrence Brain Tumor Registration. - Dongjin Kwon; Marc Niethammer; Hamed Akbari; Michel Bilello; Christos Davatzikos; Kilian M. Pohl (IEEE Trans. Medical Imaging, 2014)

Regional Manifold Learning for Disease Classification. - Dong Hye Ye; Benoit Desjardins; Jihun Hamm; Harold Litt; Kilian M. Pohl (IEEE Trans. Medical Imaging, 2014)

Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis. - Yong Zhang 004; Kilian M. Pohl (MICCAI (3), 2015)

Joint Data Harmonization and Group Cardinality Constrained Classification. - Yong Zhang 004; Sang Hyun Park 004; Kilian M. Pohl (MICCAI (1), 2016)

Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study. - Kilian M. Pohl; Edith V. Sullivan; Torsten Rohlfing; Weiwei Chu; Dongjin Kwon; B. Nolan Nichols; Yong Zhang 004; Sandra A. Brown; Susan F. Tapert; Kevin Cummins; Wesley K. Thompson; Ty Brumback; et al. (NeuroImage, 2016)

3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI. - Dong Yang 005; Pengxiang Wu; Chaowei Tan; Kilian M. Pohl; Leon Axel; Dimitris N. Metaxas (FIMH, 2017)

Computing group cardinality constraint solutions for logistic regression problems. - Yong Zhang 004; Dongjin Kwon; Kilian M. Pohl (Medical Image Anal., 2017)

Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models. - Marc Niethammer; Kilian M. Pohl; Firdaus Janoos; William M. Wells III (SIAM J. Imaging Sci., 2017)

Multi-label Transduction for Identifying Disease Comorbidity Patterns. - Ehsan Adeli 001; Dongjin Kwon; Kilian M. Pohl (MICCAI (3), 2018)

End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification. - Soheil Esmaeilzadeh; Dimitrios Ioannis Belivanis; Kilian M. Pohl; Ehsan Adeli 001 (MLMI@MICCAI, 2018)

A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity. - Qingyu Zhao; Dongjin Kwon; Kilian M. Pohl (MICCAI (3), 2018)

Chained regularization for identifying brain patterns specific to HIV infection. - Ehsan Adeli 001; Dongjin Kwon; Qingyu Zhao; Adolf Pfefferbaum; Natalie M. Zahr; Edith V. Sullivan; Kilian M. Pohl (NeuroImage, 2018)

eCurves: A Temporal Shape Encoding. - Elena Bernardis; Yong Zhang 004; Ender Konukoglu; Yangming Ou; Harold S. Javitz; Leon Axel; Dimitris N. Metaxas; Benoit Desjardins; Kilian M. Pohl (IEEE Trans. Biomed. Eng., 2018)

Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. - Qingyu Zhao; Nicolas Honnorat; Ehsan Adeli 001; Adolf Pfefferbaum; Edith V. Sullivan; Kilian M. Pohl (IPMI, 2019)

Covariance Shrinkage for Dynamic Functional Connectivity. - Nicolas Honnorat; Ehsan Adeli 001; Qingyu Zhao; Adolf Pfefferbaum; Edith V. Sullivan; Kilian M. Pohl (CNI@MICCAI, 2019)

Data Augmentation Based on Substituting Regional MRIs Volume Scores. - Tuo Leng; Qingyu Zhao; Chao Yang; Zhufu Lu; Ehsan Adeli 001; Kilian M. Pohl (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Variational AutoEncoder for Regression: Application to Brain Aging Analysis. - Qingyu Zhao; Ehsan Adeli 001; Nicolas Honnorat; Tuo Leng; Kilian M. Pohl (MICCAI (2), 2019)

Confounder-Aware Visualization of ConvNets. - Qingyu Zhao; Ehsan Adeli 001; Adolf Pfefferbaum; Edith V. Sullivan; Kilian M. Pohl (MLMI@MICCAI, 2019)

Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. - Qingyu Zhao; Nicolas Honnorat; Ehsan Adeli 001; Kilian M. Pohl (CoRR, 2019)

Bias-Resilient Neural Network. - Ehsan Adeli 001; Qingyu Zhao; Adolf Pfefferbaum; Edith V. Sullivan; Li Fei-Fei 001; Juan Carlos Niebles; Kilian M. Pohl (CoRR, 2019)

Inpainting Cropped Diffusion MRI Using Deep Generative Models. - Rafi Ayub; Qingyu Zhao; M. J. Meloy; Edith V. Sullivan; Adolf Pfefferbaum; Ehsan Adeli 001; Kilian M. Pohl (PRIME@MICCAI, 2020)

Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis. - Soham Gadgil; Qingyu Zhao; Adolf Pfefferbaum; Edith V. Sullivan; Ehsan Adeli 001; Kilian M. Pohl (MICCAI (7), 2020)

Deep Parametric Mixtures for Modeling the Functional Connectome. - Nicolas Honnorat; Adolf Pfefferbaum; Edith V. Sullivan; Kilian M. Pohl (PRIME@MICCAI, 2020)

Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity. - Mandy Lu; Kathleen L. Poston; Adolf Pfefferbaum; Edith V. Sullivan; Li Fei-Fei 001; Kilian M. Pohl; Juan Carlos Niebles; Ehsan Adeli 001 (MICCAI (3), 2020)

Spatio-Temporal Graph Convolution for Functional MRI Analysis. - Soham Gadgil; Qingyu Zhao; Ehsan Adeli 001; Adolf Pfefferbaum; Edith V. Sullivan; Kilian M. Pohl (CoRR, 2020)

Recurrent Neural Networks with Longitudinal Pooling and Consistency Regularization. - Jiahong Ouyang; Qingyu Zhao; Edith V. Sullivan; Adolf Pfefferbaum; Susan F. Tapert; Ehsan Adeli 001; Kilian M. Pohl (CoRR, 2020)

LSSL: Longitudinal Self-Supervised Learning. - Qingyu Zhao; Zixuan Liu 001; Ehsan Adeli 001; Kilian M. Pohl (CoRR, 2020)

Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain. - Ehsan Adeli 001; Qingyu Zhao; Natalie M. Zahr; Aimee Goldstone; Adolf Pfefferbaum; Edith V. Sullivan; Kilian M. Pohl (NeuroImage, 2020)

Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection. - Ehsan Adeli 001; Xiaorui Li; Dongjin Kwon; Yong Zhang 004; Kilian M. Pohl (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Metadata Normalization. - Mandy Lu; Qingyu Zhao; Jiequan Zhang; Kilian M. Pohl; Li Fei-Fei 001; Juan Carlos Niebles; Ehsan Adeli 001 (CVPR, 2021)

Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. - Zixuan Liu 001; Ehsan Adeli 001; Kilian M. Pohl; Qingyu Zhao (IPMI, 2021)

Representation Disentanglement for Multi-modal Brain MRI Analysis. - Jiahong Ouyang; Ehsan Adeli 001; Kilian M. Pohl; Qingyu Zhao; Greg Zaharchuk (IPMI, 2021)

Adversarial Bayesian Optimization for Quantifying Motion Artifact Within MRI. - Anastasia Butskova; Rain Juhl; Dzenan Zukic; Aashish Chaudhary; Kilian M. Pohl; Qingyu Zhao (PRIME@MICCAI, 2021)

Self-supervised Longitudinal Neighbourhood Embedding. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Edith V. Sullivan; Adolf Pfefferbaum; Greg Zaharchuk; Kilian M. Pohl (MICCAI (2), 2021)

Longitudinal Correlation Analysis for Decoding Multi-modal Brain Development. - Qingyu Zhao; Ehsan Adeli 001; Kilian M. Pohl (MICCAI (7), 2021)

Representation Learning with Statistical Independence to Mitigate Bias. - Ehsan Adeli-Mosabbeb; Qingyu Zhao; Adolf Pfefferbaum; Edith V. Sullivan; Li Fei-Fei 001; Juan Carlos Niebles; Kilian M. Pohl (WACV, 2021)

Representation Disentanglement for Multi-modal MR Analysis. - Jiahong Ouyang; Ehsan Adeli 001; Kilian M. Pohl; Qingyu Zhao; Greg Zaharchuk (CoRR, 2021)

Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos. - Mandy Lu; Qingyu Zhao; Kathleen L. Poston; Edith V. Sullivan; Adolf Pfefferbaum; Marian Shahid; Maya Katz; Leila Montaser Kouhsari; Kevin A. Schulman; Arnold Milstein; Juan Carlos Niebles; Victor W. Henderson; et al. (Medical Image Anal., 2021)

Longitudinal self-supervised learning. - Qingyu Zhao; Zixuan Liu 001; Ehsan Adeli 001; Kilian M. Pohl (Medical Image Anal., 2021)

Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs. - Jiahong Ouyang; Qingyu Zhao; Edith V. Sullivan; Adolf Pfefferbaum; Susan F. Tapert; Ehsan Adeli 001; Kilian M. Pohl (IEEE J. Biomed. Health Informatics, 2021)

GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. - Mark Endo; Kathleen L. Poston; Edith V. Sullivan; Li Fei-Fei 001; Kilian M. Pohl; Ehsan Adeli-Mosabbeb (MICCAI (8), 2022)

Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome. - Yueting Li; Qingyue Wei; Ehsan Adeli 001; Kilian M. Pohl; Qingyu Zhao (MICCAI (1), 2022)

Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. - Magdalini Paschali; Qingyu Zhao; Ehsan Adeli 001; Kilian M. Pohl (PRIME@MICCAI, 2022)

Multiple Instance Neuroimage Transformer. - Ayush Singla; Qingyu Zhao; Daniel K. Do; Yuyin Zhou; Kilian M. Pohl; Ehsan Adeli 001 (PRIME@MICCAI, 2022)

A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models. - Anthony Vento; Qingyu Zhao; Robert Paul; Kilian M. Pohl; Ehsan Adeli 001 (MICCAI (3), 2022)

Self-supervised learning of neighborhood embedding for longitudinal MRI. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Greg Zaharchuk; Kilian M. Pohl (Medical Image Anal., 2022)

Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment. - Jiequan Zhang; Qingyu Zhao; Ehsan Adeli 001; Adolf Pfefferbaum; Edith V. Sullivan; Robert Paul; Victor G. Valcour; Kilian M. Pohl (Medical Image Anal., 2022)

Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Greg Zaharchuk; Kilian M. Pohl (IEEE Trans. Medical Imaging, 2022)

One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. - Myeongkyun Kang; Philip Chikontwe; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli-Mosabbeb; Kilian M. Pohl; Sanghyun Park 004 (MICCAI (2), 2023)

An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment. - Favour Nerrise; Qingyu Zhao; Kathleen L. Poston; Kilian M. Pohl; Ehsan Adeli 001 (MICCAI (2), 2023)

LSOR: Longitudinally-Consistent Self-Organized Representation Learning. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Wei Peng 009; Greg Zaharchuk; Kilian M. Pohl (MICCAI (1), 2023)

Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model. - Wei Peng 009; Ehsan Adeli 001; Tomas M. Bosschieter; Sanghyun Park 004; Qingyu Zhao; Kilian M. Pohl (MICCAI (8), 2023)

Imputing Brain Measurements Across Data Sets via Graph Neural Networks. - Yixin Wang; Wei Peng 009; Susan F. Tapert; Qingyu Zhao; Kilian M. Pohl (PRIME@MICCAI, 2023)

Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs. - Wei Peng 009; Tomas M. Bosschieter; Jiahong Ouyang; Robert Paul; Ehsan Adeli 001; Qingyu Zhao; Kilian M. Pohl (CoRR, 2023)

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. - Soopil Kim; Sion An; Philip Chikontwe; Myeongkyun Kang; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (AAAI, 2024)

SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis. - Camila González; Yanis Miraoui; Yiran Fan; Ehsan Adeli-Mosabbeb; Kilian M. Pohl (MLCN@MICCAI, 2024)

Neurocognitive Latent Space Regularization for Multi-label Diagnosis from MRI. - Jocasta Manasseh-Lewis; Felipe Godoy; Wei Peng 009; Robert Paul; Ehsan Adeli-Mosabbeb; Kilian M. Pohl (PRIME@MICCAI, 2024)

SOM2LM: Self-Organized Multi-Modal Longitudinal Maps. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Greg Zaharchuk; Kilian M. Pohl (MICCAI (2), 2024)

Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging. - Magdalini Paschali; Yu Hang Jiang; Spencer Siegel; Camila González; Kilian M. Pohl; Akshay Chaudhari; Qingyu Zhao (PRIME@MICCAI, 2024)

Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning. - Yixin Wang; Wei Peng 009; Yu Zhang 009; Ehsan Adeli-Mosabbeb; Qingyu Zhao; Kilian M. Pohl (MLCN@MICCAI, 2024)

Evaluating the Quality of Brain MRI Generators. - Jiaqi Wu; Wei Peng 009; Binxu Li; Yu Zhang 009; Kilian M. Pohl (MICCAI (10), 2024)

Latent 3D Brain MRI Counterfactual. - Wei Peng 009; Tian Xia; Fabio De Sousa Ribeiro; Tomas M. Bosschieter; Ehsan Adeli-Mosabbeb; Qingyu Zhao; Ben Glocker; Kilian M. Pohl (CoRR, 2024)

Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. - Soopil Kim; Heejung Park; Myeongkyun Kang; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (Medical Image Anal., 2024)

Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs. - Wei Peng 009; Tomas M. Bosschieter; Jiahong Ouyang; Robert Paul; Edith V. Sullivan; Adolf Pfefferbaum; Ehsan Adeli 001; Qingyu Zhao; Kilian M. Pohl (Medical Image Anal., 2024)

Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases. - Mark Endo; Favour Nerrise; Qingyu Zhao; Edith V. Sullivan; Li Fei-Fei 001; Victor W. Henderson; Kilian M. Pohl; Kathleen L. Poston; Ehsan Adeli 001 (Nat. Mac. Intell., 2024)

FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. - Myeongkyun Kang; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (Pattern Recognit., 2024)

Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation. - Myeongkyun Kang; Philip Chikontwe; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (Medical Image Anal., 2025)

Diffusion Models for Computational Neuroimaging: A Survey. - Haokai Zhao; Haowei Lou; Lina Yao 001; Wei Peng 009; Ehsan Adeli 001; Kilian M. Pohl; Yu Zhang 009 (CoRR, 2025)

Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis. - Soopil Kim; Heejung Park; Philip Chikontwe; Myeongkyun Kang; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sang Hyun Park 004 (IEEE Trans. Medical Imaging, 2025)

The Most Important Features in Generalized Additive Models Might Be Groups of Features. - Tomas M. Bosschieter; Luis Franca; Jessica Wolk; Yiyuan Wu; Bella Mehta; Joseph Dehoney; Orsolya Kiss; Fiona C. Baker; Qingyu Zhao; Rich Caruana; Kilian M. Pohl (CoRR, 2025)

Confounder-Free Continual Learning via Recursive Feature Normalization. - Yash Shah; Camila González; Mohammad Hasan Abbasi; Qingyu Zhao; Kilian M. Pohl; Ehsan Adeli 001 (CoRR, 2025)