Kilian M. Pohl

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 71

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Myeongkyun Kang, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. Pattern Recognit. 149 (2024)
Soopil Kim, Heejung Park, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. Medical Image Anal. 95 (2024)
Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. AAAI (2024)
Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli-Mosabbeb, Kilian M. Pohl, Sanghyun Park
One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. MICCAI (2) (2023)
Wei Peng, Ehsan Adeli, Tomas M. Bosschieter, Sanghyun Park, Qingyu Zhao, Kilian M. Pohl
Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model. MICCAI (8) (2023)
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. MICCAI (1) (2023)
Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl
Imputing Brain Measurements Across Data Sets via Graph Neural Networks. PRIME@MICCAI (2023)
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. CoRR (2023)
Wei Peng, Tomas M. Bosschieter, Jiahong Ouyang, Robert Paul, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl
Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs. CoRR (2023)
Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl
Imputing Brain Measurements Across Data Sets via Graph Neural Networks. CoRR (2023)
Favour Nerrise, Qingyu Zhao, Kathleen L. Poston, Kilian M. Pohl, Ehsan Adeli
An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment. MICCAI (2) (2023)
Favour Nerrise, Qingyu Zhao, Kathleen L. Poston, Kilian M. Pohl, Ehsan Adeli
An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment. CoRR (2023)
Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. CoRR (2023)
Yueting Li, Qingyue Wei, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome. CoRR (2022)
Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli
GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. CoRR (2022)
Magdalini Paschali, Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl
Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. PRIME@MICCAI (2022)
Magdalini Paschali, Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl
Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. CoRR (2022)
Anthony Vento, Qingyu Zhao, Robert Paul, Kilian M. Pohl, Ehsan Adeli
A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models. MICCAI (3) (2022)
Ayush Singla, Qingyu Zhao, Daniel K. Do, Yuyin Zhou, Kilian M. Pohl, Ehsan Adeli
Multiple Instance Neuroimage Transformer. PRIME@MICCAI (2022)
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl
Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI. IEEE Trans. Medical Imaging 41 (10) (2022)
Ayush Singla, Qingyu Zhao, Daniel K. Do, Yuyin Zhou, Kilian M. Pohl, Ehsan Adeli
Multiple Instance Neuroimage Transformer. CoRR (2022)
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl
Self-supervised learning of neighborhood embedding for longitudinal MRI. Medical Image Anal. 82 (2022)
Yueting Li, Qingyue Wei, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome. MICCAI (1) (2022)
Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli-Mosabbeb
GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. MICCAI (8) (2022)
Jiequan Zhang, Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Robert Paul, Victor G. Valcour, Kilian M. Pohl
Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment. Medical Image Anal. 75 (2022)
Anthony Vento, Qingyu Zhao, Robert Paul, Kilian M. Pohl, Ehsan Adeli
A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models. CoRR (2022)
Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli
Metadata Normalization. CoRR (2021)
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl
Self-Supervised Longitudinal Neighbourhood Embedding. CoRR (2021)
Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. IPMI (2021)
Ehsan Adeli-Mosabbeb, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl
Representation Learning with Statistical Independence to Mitigate Bias. WACV (2021)
Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk
Representation Disentanglement for Multi-modal MR Analysis. CoRR (2021)
Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl
Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development. CoRR (2021)
Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli
Metadata Normalization. CVPR (2021)
Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl
Longitudinal self-supervised learning. Medical Image Anal. 71 (2021)
Jiahong Ouyang, Qingyu Zhao, Edith V. Sullivan, Adolf Pfefferbaum, Susan F. Tapert, Ehsan Adeli, Kilian M. Pohl
Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl
Self-supervised Longitudinal Neighbourhood Embedding. MICCAI (2) (2021)
Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl
Longitudinal Correlation Analysis for Decoding Multi-modal Brain Development. MICCAI (7) (2021)
Anastasia Butskova, Rain Juhl, Dzenan Zukic, Aashish Chaudhary, Kilian M. Pohl, Qingyu Zhao
Adversarial Bayesian Optimization for Quantifying Motion Artifact Within MRI. PRIME@MICCAI (2021)
Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. CoRR (2021)
Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk
Representation Disentanglement for Multi-modal Brain MRI Analysis. IPMI (2021)
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
Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos. Medical Image Anal. 73 (2021)
Nicolas Honnorat, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
Deep Parametric Mixtures for Modeling the Functional Connectome. PRIME@MICCAI (2020)
Soham Gadgil, Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
Spatio-Temporal Graph Convolution for Functional MRI Analysis. CoRR (2020)
Mandy Lu, Kathleen L. Poston, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli
Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity. CoRR (2020)
Ehsan Adeli, Qingyu Zhao, Natalie M. Zahr, Aimee Goldstone, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain. NeuroImage 223 (2020)
Mandy Lu, Kathleen L. Poston, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli
Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity. MICCAI (3) (2020)
Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl
LSSL: Longitudinal Self-Supervised Learning. CoRR (2020)
Rafi Ayub, Qingyu Zhao, M. J. Meloy, Edith V. Sullivan, Adolf Pfefferbaum, Ehsan Adeli, Kilian M. Pohl
Inpainting Cropped Diffusion MRI Using Deep Generative Models. PRIME@MICCAI (2020)
Soham Gadgil, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Ehsan Adeli, Kilian M. Pohl
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis. MICCAI (7) (2020)
Jiahong Ouyang, Qingyu Zhao, Edith V. Sullivan, Adolf Pfefferbaum, Susan F. Tapert, Ehsan Adeli, Kilian M. Pohl
Recurrent Neural Networks with Longitudinal Pooling and Consistency Regularization. CoRR (2020)
Ehsan Adeli, Xiaorui Li, Dongjin Kwon, Yong Zhang, Kilian M. Pohl
Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 42 (7) (2020)
Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Kilian M. Pohl
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. CoRR (2019)
Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl
Variational AutoEncoder for Regression: Application to Brain Aging Analysis. MICCAI (2) (2019)
Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl
Variational AutoEncoder For Regression: Application to Brain Aging Analysis. CoRR (2019)
Nicolas Honnorat, Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
Covariance Shrinkage for Dynamic Functional Connectivity. CNI@MICCAI (2019)
Tuo Leng, Qingyu Zhao, Chao Yang, Zhufu Lu, Ehsan Adeli, Kilian M. Pohl
Data Augmentation Based on Substituting Regional MRIs Volume Scores. LABELS/HAL-MICCAI/CuRIOUS@MICCAI (2019)
Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
Confounder-Aware Visualization of ConvNets. CoRR (2019)
Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
Confounder-Aware Visualization of ConvNets. MLMI@MICCAI (2019)
Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. IPMI (2019)
Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl
Bias-Resilient Neural Network. CoRR (2019)
Qingyu Zhao, Dongjin Kwon, Kilian M. Pohl
A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity. MICCAI (3) (2018)
Soheil Esmaeilzadeh, Dimitrios Ioannis Belivanis, Kilian M. Pohl, Ehsan Adeli
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification. CoRR (2018)
Ehsan Adeli, Dongjin Kwon, Kilian M. Pohl
Multi-label Transduction for Identifying Disease Comorbidity Patterns. MICCAI (3) (2018)
Elena Bernardis, Yong Zhang, Ender Konukoglu, Yangming Ou, Harold S. Javitz, Leon Axel, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl
eCurves: A Temporal Shape Encoding. IEEE Trans. Biomed. Eng. 65 (4) (2018)
Soheil Esmaeilzadeh, Dimitrios Ioannis Belivanis, Kilian M. Pohl, Ehsan Adeli
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification. MLMI@MICCAI (2018)
Ehsan Adeli, Dongjin Kwon, Qingyu Zhao, Adolf Pfefferbaum, Natalie M. Zahr, Edith V. Sullivan, Kilian M. Pohl
Chained regularization for identifying brain patterns specific to HIV infection. NeuroImage 183 (2018)
Marc Niethammer, Kilian M. Pohl, Firdaus Janoos, William M. Wells III
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models. SIAM J. Imaging Sci. 10 (3) (2017)
Dong Yang, Pengxiang Wu, Chaowei Tan, Kilian M. Pohl, Leon Axel, Dimitris N. Metaxas
3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI. FIMH (2017)
Yong Zhang, Dongjin Kwon, Kilian M. Pohl
Computing group cardinality constraint solutions for logistic regression problems. Medical Image Anal. 35 (2017)
Yong Zhang, Sang Hyun Park, Kilian M. Pohl
Joint Data Harmonization and Group Cardinality Constrained Classification. MICCAI (1) (2016)
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
Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study. NeuroImage 130 (2016)
Yong Zhang, Kilian M. Pohl
Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis. MICCAI (3) (2015)
Marc Niethammer, Kilian M. Pohl, Firdaus Janoos, William M. Wells III
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models. CoRR (2015)
Dong Hye Ye, Benoit Desjardins, Victor Ferrari, Dimitris N. Metaxas, Kilian M. Pohl
Auto-encoding of discriminating morphometry from cardiac MRI. ISBI (2014)
Dong Hye Ye, Benoit Desjardins, Jihun Hamm, Harold Litt, Kilian M. Pohl
Regional Manifold Learning for Disease Classification. IEEE Trans. Medical Imaging 33 (6) (2014)
Dongjin Kwon, Marc Niethammer, Hamed Akbari, Michel Bilello, Christos Davatzikos, Kilian M. Pohl
PORTR: Pre-Operative and Post-Recurrence Brain Tumor Registration. IEEE Trans. Medical Imaging 33 (3) (2014)
Birkan Tunç, Alex R. Smith, Demian Wassermann, Xavier Pennec, William M. Wells III, Ragini Verma, Kilian M. Pohl
Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering. IPMI (2013)
Mustafa Gökhan Uzunbas, Chao Chen, Shaoting Zhang, Kilian M. Pohl, Kang Li, Dimitris N. Metaxas
Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models. MICCAI (2) (2013)
Dong Hye Ye, Jihun Hamm, Benoit Desjardins, Kilian M. Pohl
FLOOR: Fusing Locally Optimal Registrations. MICCAI (3) (2013)
Elena Bernardis, Kilian M. Pohl, Christos Davatzikos
Extracting Evolving Pathologies via Spectral Clustering. IPMI (2013)
Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl
WESD-Weighted Spectral Distance for Measuring Shape Dissimilarity. IEEE Trans. Pattern Anal. Mach. Intell. 35 (9) (2013)
Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl
WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity CoRR (2012)
Dongjin Kwon, Il Dong Yun, Kilian M. Pohl, Christos Davatzikos, Sang Uk Lee
Nonrigid volume registration using second-order MRF model. ISBI (2012)
Jutta Eckl, Volker Daum, Joachim Hornegger, Kilian M. Pohl
Non-rigid registration guided by landmarks and learning. ISBI (2012)
Dong Hye Ye, Jihun Hamm, Dongjin Kwon, Christos Davatzikos, Kilian M. Pohl
Regional Manifold Learning for Deformable Registration of Brain MR Images. MICCAI (3) (2012)
Elena Bernardis, Ender Konukoglu, Yangming Ou, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl
Temporal Shape Analysis via the Spectral Signature. MICCAI (2) (2012)
Dong Hye Ye, Jihun Hamm, Kilian M. Pohl
Combining regional metrics for disease-related brain population analysis. ISBI (2012)
Mustafa Gökhan Uzunbas, Shaoting Zhang, Kilian M. Pohl, Dimitris N. Metaxas, Leon Axel
Segmentation of myocardium using deformable regions and graph cuts. ISBI (2012)
Ali Gooya, Kilian M. Pohl, Michel Bilello, Luigi Cirillo, George Biros, Elias R. Melhem, Christos Davatzikos
GLISTR: Glioma Image Segmentation and Registration. IEEE Trans. Medical Imaging 31 (10) (2012)
Yangming Ou, Dong Hye Ye, Kilian M. Pohl, Christos Davatzikos
Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration. WBIR (2012)
Jagadeesan Jayender, Kirby G. Vosburgh, Eva Gombos, Ahmad Ashraf, Despina Kontos, Sara Gavenonis, Ferenc A. Jolesz, Kilian M. Pohl
Automatic segmentation of breast carcinomas from DCE-MRI using a Statistical Learning Algorithm. ISBI (2012)
Ender Konukoglu, Ben Glocker, Dong Hye Ye, Antonio Criminisi, Kilian M. Pohl
Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity. IEEE Trans. Medical Imaging 31 (12) (2012)
Dong Hye Ye, Harold Litt, Christos Davatzikos, Kilian M. Pohl
Morphological Classification: Application to Cardiac MRI of Tetralogy of Fallot. FIMH (2011)
Ali Gooya, Kilian M. Pohl, Michel Bilello, George Biros, Christos Davatzikos
Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model. MICCAI (2) (2011)
Bilwaj Gaonkar, Güray Erus, Kilian M. Pohl, Manoj Tanwar, Stefan Margiewicz, R. Nick Bryan, Christos Davatzikos
Automated segmentation of cortical necrosis using awavelet based abnormality detection system. ISBI (2011)
Bilwaj Gaonkar, Kilian M. Pohl, Christos Davatzikos
Pattern Based Morphometry. MICCAI (2) (2011)
Dong Hye Ye, Kilian M. Pohl, Christos Davatzikos
Semi-supervised Pattern Classification: Application to Structural MRI of Alzheimer's Disease. PRNI (2011)
Kayhan N. Batmanghelich, Dong Hye Ye, Kilian M. Pohl, Ben Taskar, Christos Davatzikos
Disease classification and prediction via semi-supervised dimensionality reduction. ISBI (2011)
Dong Hye Ye, Kilian M. Pohl, Harold Litt, Christos Davatzikos
Groupwise morphometric analysis based on high dimensional clustering. CVPR Workshops (2010)
Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, David Beymer, Fei Wang, Arnon Amir, Hayit Greenspan, Kilian M. Pohl
Shape-based similarity retrieval of Doppler images for clinical decision support. CVPR (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kilian M. Pohl