Kilian M. Pohl

According to our database, Kilian M. Pohl authored at least 105 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FedNN: Federated learning on concept drift data using weight and adaptive group normalizations.

Myeongkyun Kang, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park

Pattern Recognit., 2024

Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases.

Mark Endo, Favour Nerrise, Qingyu Zhao, Edith V. Sullivan, Li Fei-Fei, Victor W. Henderson, Kilian M. Pohl, Kathleen L. Poston, Ehsan Adeli

Nat. Mac. Intell., 2024

Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs.

Wei Peng, Tomas M. Bosschieter, Jiahong Ouyang, Robert Paul, Edith V. Sullivan, Adolf Pfefferbaum, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl

Medical Image Anal., 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, Kilian M. Pohl, Sanghyun Park

Medical Image Anal., 2024

SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis.

Camila González, Yanis Miraoui, Yiran Fan, Ehsan Adeli, Kilian M. Pohl

CoRR, 2024

Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning.

Yixin Wang, Wei Peng, Yu Zhang, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl

CoRR, 2024

Latent 3D Brain MRI Counterfactual.

Wei Peng, Tian Xia, Fabio De Sousa Ribeiro, Tomas M. Bosschieter, Ehsan Adeli-Mosabbeb, Qingyu Zhao, Ben Glocker, Kilian M. Pohl

CoRR, 2024

Evaluating the Quality of Brain MRI Generators.

Jiaqi Wu, Wei Peng, Binxu Li, Yu Zhang, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024

SOM2LM: Self-Organized Multi-Modal Longitudinal Maps.

Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Neurocognitive Latent Space Regularization for Multi-label Diagnosis from MRI.

Jocasta Manasseh-Lewis, Felipe Godoy, Wei Peng, Robert Paul, Ehsan Adeli-Mosabbeb, Kilian M. Pohl

Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection.

Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs.

Wei Peng, Tomas M. Bosschieter, Jiahong Ouyang, Robert Paul, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl

CoRR, 2023

Imputing Brain Measurements Across Data Sets via Graph Neural Networks.

Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl

Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model.

Wei Peng, Ehsan Adeli, Tomas M. Bosschieter, Sanghyun Park, Qingyu Zhao, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

LSOR: Longitudinally-Consistent Self-Organized Representation Learning.

Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI.

Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl

IEEE Trans. Medical Imaging, 2022

Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment.

Jiequan Zhang, Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Robert Paul, Victor G. Valcour, Kilian M. Pohl

Medical Image Anal., 2022

Self-supervised learning of neighborhood embedding for longitudinal MRI.

Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl

Medical Image Anal., 2022

A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models.

Anthony Vento, Qingyu Zhao, Robert Paul, Kilian M. Pohl, Ehsan Adeli

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multiple Instance Neuroimage Transformer.

Ayush Singla, Qingyu Zhao, Daniel K. Do, Yuyin Zhou, Kilian M. Pohl, Ehsan Adeli

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing.

Magdalini Paschali, Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome.

Yueting Li, Qingyue Wei, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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, Kilian M. Pohl, Ehsan Adeli-Mosabbeb

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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, Kilian M. Pohl

IEEE J. Biomed. Health Informatics, 2021

Longitudinal self-supervised learning.

Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl

Medical Image Anal., 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, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli

Medical Image Anal., 2021

Representation Disentanglement for Multi-modal MR Analysis.

Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk

CoRR, 2021

Representation Learning with Statistical Independence to Mitigate Bias.

Ehsan Adeli-Mosabbeb, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Longitudinal Correlation Analysis for Decoding Multi-modal Brain Development.

Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Self-supervised Longitudinal Neighbourhood Embedding.

Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Adversarial Bayesian Optimization for Quantifying Motion Artifact Within MRI.

Anastasia Butskova, Rain Juhl, Dzenan Zukic, Aashish Chaudhary, Kilian M. Pohl, Qingyu Zhao

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Representation Disentanglement for Multi-modal Brain MRI Analysis.

Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk

Proceedings of the Information Processing in Medical Imaging, 2021

Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models.

Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao

Proceedings of the Information Processing in Medical Imaging, 2021

Metadata Normalization.

Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection.

Ehsan Adeli, Xiaorui Li, Dongjin Kwon, Yong Zhang, Kilian M. Pohl

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain.

Ehsan Adeli, Qingyu Zhao, Natalie M. Zahr, Aimee Goldstone, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl

NeuroImage, 2020

LSSL: Longitudinal Self-Supervised Learning.

Qingyu Zhao, Zixuan Liu, Ehsan Adeli, 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, Kilian M. Pohl

CoRR, 2020

Spatio-Temporal Graph Convolution for Functional MRI Analysis.

Soham Gadgil, Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl

CoRR, 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, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Parametric Mixtures for Modeling the Functional Connectome.

Nicolas Honnorat, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis.

Soham Gadgil, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Ehsan Adeli, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Inpainting Cropped Diffusion MRI Using Deep Generative Models.

Rafi Ayub, Qingyu Zhao, M. J. Meloy, Edith V. Sullivan, Adolf Pfefferbaum, Ehsan Adeli, Kilian M. Pohl

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

2019

Bias-Resilient Neural Network.

Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl

CoRR, 2019

Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis.

Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Kilian M. Pohl

CoRR, 2019

Confounder-Aware Visualization of ConvNets.

Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Variational AutoEncoder for Regression: Application to Brain Aging Analysis.

Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Data Augmentation Based on Substituting Regional MRIs Volume Scores.

Tuo Leng, Qingyu Zhao, Chao Yang, Zhufu Lu, Ehsan Adeli, Kilian M. Pohl

Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

Covariance Shrinkage for Dynamic Functional Connectivity.

Nicolas Honnorat, Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl

Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019

Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis.

Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl

Proceedings of the Information Processing in Medical Imaging, 2019

2018

eCurves: A Temporal Shape Encoding.

Elena Bernardis, Yong Zhang, Ender Konukoglu, Yangming Ou, Harold S. Javitz, Leon Axel, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl

IEEE Trans. Biomed. Eng., 2018

Chained regularization for identifying brain patterns specific to HIV infection.

Ehsan Adeli, Dongjin Kwon, Qingyu Zhao, Adolf Pfefferbaum, Natalie M. Zahr, Edith V. Sullivan, Kilian M. Pohl

NeuroImage, 2018

A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity.

Qingyu Zhao, Dongjin Kwon, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification.

Soheil Esmaeilzadeh, Dimitrios Ioannis Belivanis, Kilian M. Pohl, Ehsan Adeli

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Multi-label Transduction for Identifying Disease Comorbidity Patterns.

Ehsan Adeli, Dongjin Kwon, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

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

Computing group cardinality constraint solutions for logistic regression problems.

Yong Zhang, Dongjin Kwon, Kilian M. Pohl

Medical Image Anal., 2017

3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI.

Dong Yang, Pengxiang Wu, Chaowei Tan, Kilian M. Pohl, Leon Axel, Dimitris N. Metaxas

Proceedings of the Functional Imaging and Modelling of the Heart, 2017

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, 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

NeuroImage, 2016

Joint Data Harmonization and Group Cardinality Constrained Classification.

Yong Zhang, Sang Hyun Park, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis.

Yong Zhang, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

2014

Regional Manifold Learning for Disease Classification.

Dong Hye Ye, Benoit Desjardins, Jihun Hamm, Harold Litt, Kilian M. Pohl

IEEE Trans. Medical Imaging, 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

Auto-encoding of discriminating morphometry from cardiac MRI.

Dong Hye Ye, Benoit Desjardins, Victor Ferrari, Dimitris N. Metaxas, Kilian M. Pohl

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

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

FLOOR: Fusing Locally Optimal Registrations.

Dong Hye Ye, Jihun Hamm, Benoit Desjardins, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models.

Mustafa Gökhan Uzunbas, Chao Chen, Shaoting Zhang, Kilian M. Pohl, Kang Li, Dimitris N. Metaxas

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 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

Proceedings of the Information Processing in Medical Imaging, 2013

Extracting Evolving Pathologies via Spectral Clustering.

Elena Bernardis, Kilian M. Pohl, Christos Davatzikos

Proceedings of the Information Processing in Medical Imaging, 2013

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

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

Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration.

Yangming Ou, Dong Hye Ye, Kilian M. Pohl, Christos Davatzikos

Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012

Regional Manifold Learning for Deformable Registration of Brain MR Images.

Dong Hye Ye, Jihun Hamm, Dongjin Kwon, Christos Davatzikos, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Temporal Shape Analysis via the Spectral Signature.

Elena Bernardis, Ender Konukoglu, Yangming Ou, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Combining regional metrics for disease-related brain population analysis.

Dong Hye Ye, Jihun Hamm, Kilian M. Pohl

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Segmentation of myocardium using deformable regions and graph cuts.

Mustafa Gökhan Uzunbas, Shaoting Zhang, Kilian M. Pohl, Dimitris N. Metaxas, Leon Axel

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Nonrigid volume registration using second-order MRF model.

Dongjin Kwon, Il Dong Yun, Kilian M. Pohl, Christos Davatzikos, Sang Uk Lee

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 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

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Non-rigid registration guided by landmarks and learning.

Jutta Eckl, Volker Daum, Joachim Hornegger, Kilian M. Pohl

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

Semi-supervised Pattern Classification: Application to Structural MRI of Alzheimer's Disease.

Dong Hye Ye, Kilian M. Pohl, Christos Davatzikos

Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Pattern Based Morphometry.

Bilwaj Gaonkar, Kilian M. Pohl, Christos Davatzikos

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 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

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Disease classification and prediction via semi-supervised dimensionality reduction.

Kayhan N. Batmanghelich, Dong Hye Ye, Kilian M. Pohl, Ben Taskar, Christos Davatzikos

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Morphological Classification: Application to Cardiac MRI of Tetralogy of Fallot.

Dong Hye Ye, Harold Litt, Christos Davatzikos, Kilian M. Pohl

Proceedings of the Functional Imaging and Modeling of the Heart, 2011

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

Proceedings of the MEDINFO 2010, 2010

Groupwise morphometric analysis based on high dimensional clustering.

Dong Hye Ye, Kilian M. Pohl, Harold Litt, Christos Davatzikos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Shape-based similarity retrieval of Doppler images for clinical decision support.

Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, David Beymer, Fei Wang, Arnon Amir, Hayit Greenspan, Kilian M. Pohl

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

A Unified Framework for MR Based Disease Classification.

Kilian M. Pohl, Mert R. Sabuncu

Proceedings of the Information Processing in Medical Imaging, 2009

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

Proceedings of the Medicine Meets Virtual Reality 16, 2008

Monitoring slowly evolving tumors.

Ender Konukoglu, William M. Wells III, Sébastien Novellas, Nicholas Ayache, Ron Kikinis, Peter M. Black, Kilian M. Pohl

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

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

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

Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework.

Kilian M. Pohl, Ron Kikinis, William M. Wells III

Proceedings of the Information Processing in Medical Imaging, 2007

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

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2005

Prior information for brain parcellation.

Kilian M. Pohl

PhD thesis, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

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

Proceedings of the Computer Vision for Biomedical Image Applications, 2005

2004

Coupling Statistical Segmentation and PCA Shape Modeling.

Kilian M. Pohl, Simon K. Warfield, Ron Kikinis, W. Eric L. Grimson, William M. Wells III

Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

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

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2002

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002