Kilian M. Pohl

141 papers A* 4A 2Journal 63Unranked 69

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diffusion MRI Transformer with a Diffusion Space Rotary Positional Embedding (D-RoPE). CoRR Gustavo Chau Loo Kung, Mohammad H. Abbasi, Camila Blank, Juze Zhang, Alan Q. Wang, Sophie Ostmeier, Akshay Chaudhari, Kilian M. Pohl, Ehsan Adeli-Mosabbeb
2026	J	`jnl`	Interpretable Cross-Network Attention for Resting-State fMRI Representation Learning. CoRR Karanpartap Singh, Adam Turnbull, Mohammad H. Abbasi, Kilian M. Pohl, Feng Vankee Lin, Ehsan Adeli-Mosabbeb
2025	J	`jnl`	Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis. IEEE Trans. Medical Imaging Soopil Kim, Heejung Park, Philip Chikontwe, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park
2025	A*	`conf`	Confounder-Free Continual Learning via Recursive Feature Normalization. ICML Yash Shah, Camila González, Mohammad H. Abbasi, Qingyu Zhao, Kilian M. Pohl, Ehsan Adeli
2025	J	`jnl`	Confounder-Free Continual Learning via Recursive Feature Normalization. CoRR Yash Shah, Camila González, Mohammad H. Abbasi, Qingyu Zhao, Kilian M. Pohl, Ehsan Adeli
2025	J	`jnl`	Diffusion Models for Computational Neuroimaging: A Survey. CoRR Haokai Zhao, Haowei Lou, Lina Yao, Wei Peng, Ehsan Adeli, Kilian M. Pohl, Yu Zhang
2025	J	`jnl`	Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation. Medical Image Anal. Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2025	—	`conf`	Evaluation of 3D Counterfactual Brain MRI Generation. DGM4MICCAI@MICCAI Pengwei Sun, Wei Peng, Lun Yu Li, Yixin Wang, Kilian M. Pohl
2025	—	`conf`	Generating Novel Brain Morphology by Deforming Learned Templates. MICCAI (2) Alan Q. Wang, Fangrui Huang, Bailey Trang, Wei Peng, Mohammad H. Abbasi, Kilian M. Pohl, Mert R. Sabuncu, Ehsan Adeli
2025	J	`jnl`	Integrating Anatomical Priors into a Causal Diffusion Model. CoRR Binxu Li, Wei Peng, Mingjie Li, Ehsan Adeli, Kilian M. Pohl
2025	—	`conf`	Latent Causal Modeling for 3D Brain MRI Counterfactuals. DGM4MICCAI@MICCAI Wei Peng, Tian Xia, Fabio De Sousa Ribeiro, Tomas M. Bosschieter, Ehsan Adeli, Qingyu Zhao, Ben Glocker, Kilian M. Pohl
2025	J	`jnl`	The Most Important Features in Generalized Additive Models Might Be Groups of Features. CoRR 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
2024	—	`conf`	Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning. MLCN@MICCAI Yixin Wang, Wei Peng, Yu Zhang, Ehsan Adeli-Mosabbeb, Qingyu Zhao, Kilian M. Pohl
2024	J	`jnl`	Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning. CoRR Yixin Wang, Wei Peng, Yu Zhang, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl
2024	J	`jnl`	Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases. Nat. Mac. Intell. Mark Endo, Favour Nerrise, Qingyu Zhao, Edith V. Sullivan, Li Fei-Fei, Victor W. Henderson, Kilian M. Pohl, Kathleen L. Poston, Ehsan Adeli
2024	—	`conf`	Evaluating the Quality of Brain MRI Generators. MICCAI (10) Jiaqi Wu, Wei Peng, Binxu Li, Yu Zhang, Kilian M. Pohl
2024	J	`jnl`	FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. Pattern Recognit. Myeongkyun Kang, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2024	J	`jnl`	Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. Medical Image Anal. Soopil Kim, Heejung Park, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2024	A*	`conf`	Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. AAAI Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2024	J	`jnl`	Latent 3D Brain MRI Counterfactual. CoRR Wei Peng, Tian Xia, Fabio De Sousa Ribeiro, Tomas M. Bosschieter, Ehsan Adeli-Mosabbeb, Qingyu Zhao, Ben Glocker, Kilian M. Pohl
2024	J	`jnl`	Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs. Medical Image Anal. Wei Peng, Tomas M. Bosschieter, Jiahong Ouyang, Robert Paul, Edith V. Sullivan, Adolf Pfefferbaum, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl
2024	—	`conf`	Neurocognitive Latent Space Regularization for Multi-label Diagnosis from MRI. PRIME@MICCAI Jocasta Manasseh-Lewis, Felipe Godoy, Wei Peng, Robert Paul, Ehsan Adeli-Mosabbeb, Kilian M. Pohl
2024	—	`conf`	SOM2LM: Self-Organized Multi-Modal Longitudinal Maps. MICCAI (2) Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl
2024	—	`conf`	SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis. MLCN@MICCAI Camila González, Yanis Miraoui, Yiran Fan, Ehsan Adeli-Mosabbeb, Kilian M. Pohl
2024	J	`jnl`	SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis. CoRR Camila González, Yanis Miraoui, Yiran Fan, Ehsan Adeli, Kilian M. Pohl
2024	—	`conf`	Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging. PRIME@MICCAI Magdalini Paschali, Yu Hang Jiang, Spencer Siegel, Camila González, Kilian M. Pohl, Akshay Chaudhari, Qingyu Zhao
2024	J	`jnl`	Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging. CoRR Magdalini Paschali, Yu Hang Jiang, Spencer Siegel, Camila González, Kilian M. Pohl, Akshay Chaudhari, Qingyu Zhao
2023	—	`conf`	An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment. MICCAI (2) Favour Nerrise, Qingyu Zhao, Kathleen L. Poston, Kilian M. Pohl, Ehsan Adeli
2023	J	`jnl`	An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment. CoRR Favour Nerrise, Qingyu Zhao, Kathleen L. Poston, Kilian M. Pohl, Ehsan Adeli
2023	J	`jnl`	Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. CoRR Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2023	—	`conf`	Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model. MICCAI (8) Wei Peng, Ehsan Adeli, Tomas M. Bosschieter, Sanghyun Park, Qingyu Zhao, Kilian M. Pohl
2023	—	`conf`	Imputing Brain Measurements Across Data Sets via Graph Neural Networks. PRIME@MICCAI Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl
2023	J	`jnl`	Imputing Brain Measurements Across Data Sets via Graph Neural Networks. CoRR Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl
2023	—	`conf`	LSOR: Longitudinally-Consistent Self-Organized Representation Learning. MICCAI (1) Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl
2023	J	`jnl`	LSOR: Longitudinally-Consistent Self-Organized Representation Learning. CoRR Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl
2023	J	`jnl`	Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs. CoRR Wei Peng, Tomas M. Bosschieter, Jiahong Ouyang, Robert Paul, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl
2023	—	`conf`	One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. MICCAI (2) Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli-Mosabbeb, Kilian M. Pohl, Sanghyun Park
2022	—	`conf`	A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models. MICCAI (3) Anthony Vento, Qingyu Zhao, Robert Paul, Kilian M. Pohl, Ehsan Adeli
2022	J	`jnl`	A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models. CoRR Anthony Vento, Qingyu Zhao, Robert Paul, Kilian M. Pohl, Ehsan Adeli
2022	—	`conf`	Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. PRIME@MICCAI Magdalini Paschali, Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl
2022	J	`jnl`	Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. CoRR Magdalini Paschali, Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl
2022	J	`jnl`	Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI. IEEE Trans. Medical Imaging Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl
2022	J	`jnl`	GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. CoRR Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli
2022	—	`conf`	GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. MICCAI (8) Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli-Mosabbeb
2022	—	`conf`	Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome. MICCAI (1) Yueting Li, Qingyue Wei, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao
2022	J	`jnl`	Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome. CoRR Yueting Li, Qingyue Wei, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao
2022	J	`jnl`	Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment. Medical Image Anal. Jiequan Zhang, Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Robert Paul, Victor G. Valcour, Kilian M. Pohl
2022	—	`conf`	Multiple Instance Neuroimage Transformer. PRIME@MICCAI Ayush Singla, Qingyu Zhao, Daniel K. Do, Yuyin Zhou, Kilian M. Pohl, Ehsan Adeli
2022	J	`jnl`	Multiple Instance Neuroimage Transformer. CoRR Ayush Singla, Qingyu Zhao, Daniel K. Do, Yuyin Zhou, Kilian M. Pohl, Ehsan Adeli
2022	J	`jnl`	Self-supervised learning of neighborhood embedding for longitudinal MRI. Medical Image Anal. Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl
2021	—	`conf`	Adversarial Bayesian Optimization for Quantifying Motion Artifact Within MRI. PRIME@MICCAI Anastasia Butskova, Rain Juhl, Dzenan Zukic, Aashish Chaudhary, Kilian M. Pohl, Qingyu Zhao
2021	—	`conf`	Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. IPMI Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao
2021	J	`jnl`	Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. CoRR Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao
2021	J	`jnl`	Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development. CoRR Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl
2021	—	`conf`	Longitudinal Correlation Analysis for Decoding Multi-modal Brain Development. MICCAI (7) Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl
2021	J	`jnl`	Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs. IEEE J. Biomed. Health Informatics Jiahong Ouyang, Qingyu Zhao, Edith V. Sullivan, Adolf Pfefferbaum, Susan F. Tapert, Ehsan Adeli, Kilian M. Pohl
2021	J	`jnl`	Longitudinal self-supervised learning. Medical Image Anal. Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl
2021	A*	`conf`	Metadata Normalization. CVPR Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli
2021	J	`jnl`	Metadata Normalization. CoRR Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli
2021	J	`jnl`	Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos. Medical Image Anal. 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, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli
2021	—	`conf`	Representation Disentanglement for Multi-modal Brain MRI Analysis. IPMI Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk
2021	J	`jnl`	Representation Disentanglement for Multi-modal MR Analysis. CoRR Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk
2021	A	`conf`	Representation Learning with Statistical Independence to Mitigate Bias. WACV Ehsan Adeli-Mosabbeb, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl
2021	J	`jnl`	Self-Supervised Longitudinal Neighbourhood Embedding. CoRR Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl
2021	—	`conf`	Self-supervised Longitudinal Neighbourhood Embedding. MICCAI (2) Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl
2020	—	`conf`	Deep Parametric Mixtures for Modeling the Functional Connectome. PRIME@MICCAI Nicolas Honnorat, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
2020	J	`jnl`	Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain. NeuroImage Ehsan Adeli, Qingyu Zhao, Natalie M. Zahr, Aimee Goldstone, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
2020	—	`conf`	Inpainting Cropped Diffusion MRI Using Deep Generative Models. PRIME@MICCAI Rafi Ayub, Qingyu Zhao, M. J. Meloy, Edith V. Sullivan, Adolf Pfefferbaum, Ehsan Adeli, Kilian M. Pohl
2020	J	`jnl`	LSSL: Longitudinal Self-Supervised Learning. CoRR Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl
2020	J	`jnl`	Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. Ehsan Adeli, Xiaorui Li, Dongjin Kwon, Yong Zhang, Kilian M. Pohl
2020	J	`jnl`	Recurrent Neural Networks with Longitudinal Pooling and Consistency Regularization. CoRR Jiahong Ouyang, Qingyu Zhao, Edith V. Sullivan, Adolf Pfefferbaum, Susan F. Tapert, Ehsan Adeli, Kilian M. Pohl
2020	J	`jnl`	Spatio-Temporal Graph Convolution for Functional MRI Analysis. CoRR Soham Gadgil, Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
2020	—	`conf`	Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis. MICCAI (7) Soham Gadgil, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Ehsan Adeli, Kilian M. Pohl
2020	—	`conf`	Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity. MICCAI (3) Mandy Lu, Kathleen L. Poston, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli
2020	J	`jnl`	Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity. CoRR Mandy Lu, Kathleen L. Poston, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli
2019	—	`ed.`	Adolescent Brain Cognitive Development Neurocognitive Prediction - First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings ABCD-NP@MICCAI Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru
2019	J	`jnl`	Bias-Resilient Neural Network. CoRR Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl
2019	—	`conf`	Confounder-Aware Visualization of ConvNets. MLMI@MICCAI Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
2019	J	`jnl`	Confounder-Aware Visualization of ConvNets. CoRR Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
2019	—	`conf`	Covariance Shrinkage for Dynamic Functional Connectivity. CNI@MICCAI Nicolas Honnorat, Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
2019	—	`conf`	Data Augmentation Based on Substituting Regional MRIs Volume Scores. LABELS/HAL-MICCAI/CuRIOUS@MICCAI Tuo Leng, Qingyu Zhao, Chao Yang, Zhufu Lu, Ehsan Adeli, Kilian M. Pohl
2019	J	`jnl`	Variational AutoEncoder For Regression: Application to Brain Aging Analysis. CoRR Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl
2019	—	`conf`	Variational AutoEncoder for Regression: Application to Brain Aging Analysis. MICCAI (2) Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl
2019	—	`conf`	Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. IPMI Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
2019	J	`jnl`	Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. CoRR Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Kilian M. Pohl
2018	—	`conf`	A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity. MICCAI (3) Qingyu Zhao, Dongjin Kwon, Kilian M. Pohl
2018	J	`jnl`	Chained regularization for identifying brain patterns specific to HIV infection. NeuroImage Ehsan Adeli, Dongjin Kwon, Qingyu Zhao, Adolf Pfefferbaum, Natalie M. Zahr, Edith V. Sullivan, Kilian M. Pohl
2018	—	`conf`	End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification. MLMI@MICCAI Soheil Esmaeilzadeh, Dimitrios Ioannis Belivanis, Kilian M. Pohl, Ehsan Adeli
2018	J	`jnl`	End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification. CoRR Soheil Esmaeilzadeh, Dimitrios Ioannis Belivanis, Kilian M. Pohl, Ehsan Adeli
2018	—	`conf`	Multi-label Transduction for Identifying Disease Comorbidity Patterns. MICCAI (3) Ehsan Adeli, Dongjin Kwon, Kilian M. Pohl
2018	J	`jnl`	eCurves: A Temporal Shape Encoding. IEEE Trans. Biomed. Eng. Elena Bernardis, Yong Zhang, Ender Konukoglu, Yangming Ou, Harold S. Javitz, Leon Axel, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl
2017	—	`conf`	3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI. FIMH Dong Yang, Pengxiang Wu, Chaowei Tan, Kilian M. Pohl, Leon Axel, Dimitris N. Metaxas
2017	J	`jnl`	Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models. SIAM J. Imaging Sci. Marc Niethammer, Kilian M. Pohl, Firdaus Janoos, William M. Wells III
2017	J	`jnl`	Computing group cardinality constraint solutions for logistic regression problems. Medical Image Anal. Yong Zhang, Dongjin Kwon, Kilian M. Pohl
2016	J	`jnl`	Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study. NeuroImage Kilian M. Pohl, Edith V. Sullivan, Torsten Rohlfing, Weiwei Chu, Dongjin Kwon, B. Nolan Nichols, Yong Zhang, Sandra A. Brown, Susan F. Tapert, Kevin Cummins, Wesley K. Thompson, Ty Brumback, Ian M. Colrain, Fiona C. Baker, Devin Prouty, Michael D. De Bellis, James T. Voyvodic, Duncan B. Clark, Claudiu V. Schirda, Bonnie J. Nagel, Adolf Pfefferbaum
2016	—	`conf`	Joint Data Harmonization and Group Cardinality Constrained Classification. MICCAI (1) Yong Zhang, Sang Hyun Park, Kilian M. Pohl
2015	J	`jnl`	Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models. CoRR Marc Niethammer, Kilian M. Pohl, Firdaus Janoos, William M. Wells III
2015	—	`conf`	Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis. MICCAI (3) Yong Zhang, Kilian M. Pohl
2014	—	`conf`	Auto-encoding of discriminating morphometry from cardiac MRI. ISBI Dong Hye Ye, Benoit Desjardins, Victor Ferrari, Dimitris N. Metaxas, Kilian M. Pohl
2014	J	`jnl`	PORTR: Pre-Operative and Post-Recurrence Brain Tumor Registration. IEEE Trans. Medical Imaging Dongjin Kwon, Marc Niethammer, Hamed Akbari, Michel Bilello, Christos Davatzikos, Kilian M. Pohl
2014	J	`jnl`	Regional Manifold Learning for Disease Classification. IEEE Trans. Medical Imaging Dong Hye Ye, Benoit Desjardins, Jihun Hamm, Harold Litt, Kilian M. Pohl
2013	—	`conf`	Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models. MICCAI (2) Mustafa Gökhan Uzunbas, Chao Chen, Shaoting Zhang, Kilian M. Pohl, Kang Li, Dimitris N. Metaxas
2013	—	`conf`	Extracting Evolving Pathologies via Spectral Clustering. IPMI Elena Bernardis, Kilian M. Pohl, Christos Davatzikos
2013	—	`conf`	FLOOR: Fusing Locally Optimal Registrations. MICCAI (3) Dong Hye Ye, Jihun Hamm, Benoit Desjardins, Kilian M. Pohl
2013	—	`ed.`	Information Processing in Medical Imaging - 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28-July 3, 2013. Proceedings IPMI James C. Gee, Sarang C. Joshi, Kilian M. Pohl, William M. Wells III, Lilla Zöllei
2013	—	`conf`	Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering. IPMI Birkan Tunç, Alex R. Smith, Demian Wassermann, Xavier Pennec, William M. Wells III, Ragini Verma, Kilian M. Pohl
2013	J	`jnl`	WESD-Weighted Spectral Distance for Measuring Shape Dissimilarity. IEEE Trans. Pattern Anal. Mach. Intell. Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl
2012	—	`conf`	Automatic segmentation of breast carcinomas from DCE-MRI using a Statistical Learning Algorithm. ISBI Jagadeesan Jayender, Kirby G. Vosburgh, Eva Gombos, Ahmad Ashraf, Despina Kontos, Sara Gavenonis, Ferenc A. Jolesz, Kilian M. Pohl
2012	—	`conf`	Combining regional metrics for disease-related brain population analysis. ISBI Dong Hye Ye, Jihun Hamm, Kilian M. Pohl
2012	J	`jnl`	Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity. IEEE Trans. Medical Imaging Ender Konukoglu, Ben Glocker, Dong Hye Ye, Antonio Criminisi, Kilian M. Pohl
2012	J	`jnl`	GLISTR: Glioma Image Segmentation and Registration. IEEE Trans. Medical Imaging Ali Gooya, Kilian M. Pohl, Michel Bilello, Luigi Cirillo, George Biros, Elias R. Melhem, Christos Davatzikos
2012	—	`conf`	Non-rigid registration guided by landmarks and learning. ISBI Jutta Eckl, Volker Daum, Joachim Hornegger, Kilian M. Pohl
2012	—	`conf`	Nonrigid volume registration using second-order MRF model. ISBI Dongjin Kwon, Il Dong Yun, Kilian M. Pohl, Christos Davatzikos, Sang Uk Lee
2012	—	`conf`	Regional Manifold Learning for Deformable Registration of Brain MR Images. MICCAI (3) Dong Hye Ye, Jihun Hamm, Dongjin Kwon, Christos Davatzikos, Kilian M. Pohl
2012	—	`conf`	Segmentation of myocardium using deformable regions and graph cuts. ISBI Mustafa Gökhan Uzunbas, Shaoting Zhang, Kilian M. Pohl, Dimitris N. Metaxas, Leon Axel
2012	—	`conf`	Temporal Shape Analysis via the Spectral Signature. MICCAI (2) Elena Bernardis, Ender Konukoglu, Yangming Ou, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl
2012	—	`conf`	Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration. WBIR Yangming Ou, Dong Hye Ye, Kilian M. Pohl, Christos Davatzikos
2012	J	`jnl`	WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity CoRR Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl
2011	—	`conf`	Automated segmentation of cortical necrosis using awavelet based abnormality detection system. ISBI Bilwaj Gaonkar, Güray Erus, Kilian M. Pohl, Manoj Tanwar, Stefan Margiewicz, R. Nick Bryan, Christos Davatzikos
2011	—	`conf`	Disease classification and prediction via semi-supervised dimensionality reduction. ISBI Kayhan N. Batmanghelich, Dong Hye Ye, Kilian M. Pohl, Ben Taskar, Christos Davatzikos
2011	—	`conf`	Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model. MICCAI (2) Ali Gooya, Kilian M. Pohl, Michel Bilello, George Biros, Christos Davatzikos
2011	—	`conf`	Morphological Classification: Application to Cardiac MRI of Tetralogy of Fallot. FIMH Dong Hye Ye, Harold Litt, Christos Davatzikos, Kilian M. Pohl
2011	—	`conf`	Pattern Based Morphometry. MICCAI (2) Bilwaj Gaonkar, Kilian M. Pohl, Christos Davatzikos
2011	—	`conf`	Semi-supervised Pattern Classification: Application to Structural MRI of Alzheimer's Disease. PRNI Dong Hye Ye, Kilian M. Pohl, Christos Davatzikos
2010	—	`conf`	AALIM: A Cardiac Clinical Decision Support System Powered By Advanced Multi-modal Analytics. MedInfo Arnon Amir, David Beymer, Julia Grace, Hayit Greenspan, Daniel Gruhl, Allen Hobbs, Kilian M. Pohl, Tanveer F. Syeda-Mahmood, Joseph Terdiman, Fei Wang
2010	—	`conf`	Groupwise morphometric analysis based on high dimensional clustering. CVPR Workshops Dong Hye Ye, Kilian M. Pohl, Harold Litt, Christos Davatzikos
2010	A*	`conf`	Shape-based similarity retrieval of Doppler images for clinical decision support. CVPR Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, David Beymer, Fei Wang, Arnon Amir, Hayit Greenspan, Kilian M. Pohl
2009	—	`conf`	A Unified Framework for MR Based Disease Classification. IPMI Kilian M. Pohl, Mert R. Sabuncu
2008	—	`conf`	Image Registration Assists Novice Operators in Ultrasound Assessment of Abdominal Trauma. MMVR Kirby G. Vosburgh, Jeffrey A. Stoll, Vicki Noble, Kilian M. Pohl, Raúl San José Estépar, Barnabás Takács
2008	—	`conf`	Monitoring slowly evolving tumors. ISBI Ender Konukoglu, William M. Wells III, Sébastien Novellas, Nicholas Ayache, Ron Kikinis, Peter M. Black, Kilian M. Pohl
2007	J	`jnl`	A Hierarchical Algorithm for MR Brain Image Parcellation. IEEE Trans. Medical Imaging 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
2007	—	`conf`	Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework. IPMI Kilian M. Pohl, Ron Kikinis, William M. Wells III
2007	J	`jnl`	Using the logarithm of odds to define a vector space on probabilistic atlases. Medical Image Anal. 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
2006	J	`jnl`	A Bayesian model for joint segmentation and registration. NeuroImage Kilian M. Pohl, John W. Fisher III, W. Eric L. Grimson, Ron Kikinis, William M. Wells III
2006	—	`conf`	Logarithm Odds Maps for Shape Representation. MICCAI (2) Kilian M. Pohl, John W. Fisher III, Martha Elizabeth Shenton, Robert W. McCarley, W. Eric L. Grimson, Ron Kikinis, William M. Wells III
2005	A	`conf`	A Unifying Approach to Registration, Segmentation, and Intensity Correction. MICCAI Kilian M. Pohl, John W. Fisher III, James J. Levitt, Martha Elizabeth Shenton, Ron Kikinis, W. Eric L. Grimson, William M. Wells III
2005	—	`—`	Prior information for brain parcellation. Kilian M. Pohl
2005	—	`conf`	Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images. CVBIA Kilian M. Pohl, John W. Fisher III, Ron Kikinis, W. Eric L. Grimson, William M. Wells III
2004	—	`conf`	Anatomical Guided Segmentation with Non-Stationary Tissue Class Distributions in an Expectation-Maximization Framework. ISBI Kilian M. Pohl, W. Eric L. Grimson, Sylvain Bouix, Ron Kikinis
2004	—	`conf`	Coupling Statistical Segmentation and PCA Shape Modeling. MICCAI (1) Kilian M. Pohl, Simon K. Warfield, Ron Kikinis, W. Eric L. Grimson, William M. Wells III
2002	—	`conf`	Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images. MICCAI (1) Kilian M. Pohl, William M. Wells III, Alexandre Guimond, Kiyoto Kasai, Martha Elizabeth Shenton, Ron Kikinis, W. Eric L. Grimson, Simon K. Warfield