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ORCIDKilian M. Pohl
◁ ▷ joint publications with coauthor community group 1
- > Home > Persons > Kilian M. Pohl
Publications
- 2024
[j24]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: 103156 (2024)- [j23]Wei Peng, Tomas M. Bosschieter, Jiahong Ouyang, Robert Paul, Edith V. Sullivan, Adolf Pfefferbaum, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl:
Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs. Medical Image Anal. 98: 103325 (2024) - [j22]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: 110230 (2024) - [c65]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: 8591-8599 - 2023
- [c64]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: 14-24 - [c63]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: 172-183 - [c62]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl:
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. MICCAI (1) 2023: 279-289 - [c61]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: 521-531 - [c60]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: 723-733 - [i26]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 abs/2307.13108 (2023) - [i25]Yixin Wang, Wei Peng, Susan F. Tapert, Qingyu Zhao, Kilian M. Pohl:
Imputing Brain Measurements Across Data Sets via Graph Neural Networks. CoRR abs/2308.09907 (2023) - [i24]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl:
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. CoRR abs/2310.00213 (2023) - [i23]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 abs/2310.04630 (2023) - [i22]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 abs/2312.13783 (2023) - 2022
- [j21]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: 102246 (2022) - [j20]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl:
Self-supervised learning of neighborhood embedding for longitudinal MRI. Medical Image Anal. 82: 102571 (2022) - [j19]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): 2558-2569 (2022) - [c59]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: 13-23 - [c58]Ayush Singla, Qingyu Zhao, Daniel K. Do, Yuyin Zhou, Kilian M. Pohl, Ehsan Adeli:
Multiple Instance Neuroimage Transformer. PRIME@MICCAI 2022: 36-48 - [c57]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: 130-139 - [c56]Yueting Li, Qingyue Wei, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao:
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome. MICCAI (1) 2022: 231-240 - [c55]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: 387-397 - [i21]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 abs/2207.00106 (2022) - [i20]Anthony Vento, Qingyu Zhao, Robert Paul, Kilian M. Pohl, Ehsan Adeli:
A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models. CoRR abs/2207.04607 (2022) - [i19]Magdalini Paschali, Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl:
Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. CoRR abs/2207.14349 (2022) - [i18]Ayush Singla, Qingyu Zhao, Daniel K. Do, Yuyin Zhou, Kilian M. Pohl, Ehsan Adeli:
Multiple Instance Neuroimage Transformer. CoRR abs/2208.09567 (2022) - [i17]Yueting Li, Qingyue Wei, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao:
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome. CoRR abs/2211.07363 (2022) - 2021
- [j18]Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl:
Longitudinal self-supervised learning. Medical Image Anal. 71: 102051 (2021) - [j17]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: 102179 (2021) - [j16]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): 2082-2092 (2021) - [c54]Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli:
Metadata Normalization. CVPR 2021: 10917-10927 - [c53]Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao:
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. IPMI 2021: 71-82 - [c52]Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk:
Representation Disentanglement for Multi-modal Brain MRI Analysis. IPMI 2021: 321-333 - [c51]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl:
Self-supervised Longitudinal Neighbourhood Embedding. MICCAI (2) 2021: 80-89 - [c50]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: 83-92 - [c49]Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl:
Longitudinal Correlation Analysis for Decoding Multi-modal Brain Development. MICCAI (7) 2021: 400-409 - [c48]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: 2512-2522 - [i16]Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao:
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. CoRR abs/2102.08239 (2021) - [i15]Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk:
Representation Disentanglement for Multi-modal MR Analysis. CoRR abs/2102.11456 (2021) - [i14]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl:
Self-Supervised Longitudinal Neighbourhood Embedding. CoRR abs/2103.03840 (2021) - [i13]Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli:
Metadata Normalization. CoRR abs/2104.09052 (2021) - [i12]Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl:
Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development. CoRR abs/2107.04724 (2021) - 2020
- [j15]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: 117293 (2020) - [j14]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): 1713-1728 (2020) - [c47]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: 91-100 - [c46]Nicolas Honnorat, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Deep Parametric Mixtures for Modeling the Functional Connectome. PRIME@MICCAI 2020: 133-143 - [c45]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: 528-538 - [c44]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: 637-647 - [i11]Soham Gadgil, Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Spatio-Temporal Graph Convolution for Functional MRI Analysis. CoRR abs/2003.10613 (2020) - [i10]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 abs/2003.13958 (2020) - [i9]Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl:
LSSL: Longitudinal Self-Supervised Learning. CoRR abs/2006.06930 (2020) - [i8]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 abs/2007.08920 (2020) - 2019
- [c43]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: 867-879 - [c42]Nicolas Honnorat, Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Covariance Shrinkage for Dynamic Functional Connectivity. CNI@MICCAI 2019: 32-41 - [c41]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: 32-41 - [c40]Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Confounder-Aware Visualization of ConvNets. MLMI@MICCAI 2019: 328-336 - [c39]Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl:
Variational AutoEncoder for Regression: Application to Brain Aging Analysis. MICCAI (2) 2019: 823-831 - [e2]Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru:
Adolescent Brain Cognitive Development Neurocognitive Prediction - First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11791, Springer 2019, ISBN 978-3-030-31900-7 [contents] - [i7]Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Kilian M. Pohl:
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. CoRR abs/1902.03717 (2019) - [i6]Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl:
Variational AutoEncoder For Regression: Application to Brain Aging Analysis. CoRR abs/1904.05948 (2019) - [i5]Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Confounder-Aware Visualization of ConvNets. CoRR abs/1907.12727 (2019) - [i4]Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl:
Bias-Resilient Neural Network. CoRR abs/1910.03676 (2019) - 2018
- [j13]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: 425-437 (2018) - [j12]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): 733-744 (2018) - [c38]Qingyu Zhao, Dongjin Kwon, Kilian M. Pohl:
A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity. MICCAI (3) 2018: 145-153 - [c37]Soheil Esmaeilzadeh, Dimitrios Ioannis Belivanis, Kilian M. Pohl, Ehsan Adeli:
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification. MLMI@MICCAI 2018: 337-345 - [c36]Ehsan Adeli, Dongjin Kwon, Kilian M. Pohl:
Multi-label Transduction for Identifying Disease Comorbidity Patterns. MICCAI (3) 2018: 575-583 - [i3]Soheil Esmaeilzadeh, Dimitrios Ioannis Belivanis, Kilian M. Pohl, Ehsan Adeli:
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification. CoRR abs/1810.00523 (2018) - 2017
- [j11]Yong Zhang, Dongjin Kwon, Kilian M. Pohl:
Computing group cardinality constraint solutions for logistic regression problems. Medical Image Anal. 35: 58-69 (2017) - [j10]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): 1069-1103 (2017) - [c35]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: 481-492 - 2016
- [j9]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: 194-213 (2016) - [c34]Yong Zhang, Sang Hyun Park, Kilian M. Pohl:
Joint Data Harmonization and Group Cardinality Constrained Classification. MICCAI (1) 2016: 282-290 - 2015
- [c33]Yong Zhang, Kilian M. Pohl:
Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis. MICCAI (3) 2015: 459-466 - [i2]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 abs/1501.05680 (2015) - 2014
- [j8]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): 651-667 (2014) - [j7]Dong Hye Ye, Benoit Desjardins, Jihun Hamm, Harold Litt, Kilian M. Pohl:
Regional Manifold Learning for Disease Classification. IEEE Trans. Medical Imaging 33(6): 1236-1247 (2014) - [c32]Dong Hye Ye, Benoit Desjardins, Victor Ferrari, Dimitris N. Metaxas, Kilian M. Pohl:
Auto-encoding of discriminating morphometry from cardiac MRI. ISBI 2014: 217-221 - 2013
- [j6]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): 2284-2297 (2013) - [c31]Elena Bernardis, Kilian M. Pohl, Christos Davatzikos:
Extracting Evolving Pathologies via Spectral Clustering. IPMI 2013: 680-691 - [c30]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: 730-741 - [c29]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: 157-164 - [c28]Dong Hye Ye, Jihun Hamm, Benoit Desjardins, Kilian M. Pohl:
FLOOR: Fusing Locally Optimal Registrations. MICCAI (3) 2013: 195-202 - [e1]James C. Gee, Sarang C. Joshi, Kilian M. Pohl, William M. Wells III, Lilla Zöllei:
Information Processing in Medical Imaging - 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28-July 3, 2013. Proceedings. Lecture Notes in Computer Science 7917, Springer 2013, ISBN 978-3-642-38867-5 [contents] - 2012
- [j5]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): 1941-1954 (2012) - [j4]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): 2278-2289 (2012) - [c27]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: 122-125 - [c26]Mustafa Gökhan Uzunbas, Shaoting Zhang, Kilian M. Pohl, Dimitris N. Metaxas, Leon Axel:
Segmentation of myocardium using deformable regions and graph cuts. ISBI 2012: 254-257 - [c25]Jutta Eckl, Volker Daum, Joachim Hornegger, Kilian M. Pohl:
Non-rigid registration guided by landmarks and learning. ISBI 2012: 704-707 - [c24]Dongjin Kwon, Il Dong Yun, Kilian M. Pohl, Christos Davatzikos, Sang Uk Lee:
Nonrigid volume registration using second-order MRF model. ISBI 2012: 708-711 - [c23]Dong Hye Ye, Jihun Hamm, Kilian M. Pohl:
Combining regional metrics for disease-related brain population analysis. ISBI 2012: 1515-1518 - [c22]Elena Bernardis, Ender Konukoglu, Yangming Ou, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl:
Temporal Shape Analysis via the Spectral Signature. MICCAI (2) 2012: 49-56 - [c21]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: 131-138 - [c20]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: 209-219 - [i1]Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl:
WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity. CoRR abs/1208.5016 (2012) - 2011
- [c19]Dong Hye Ye, Harold Litt, Christos Davatzikos, Kilian M. Pohl:
Morphological Classification: Application to Cardiac MRI of Tetralogy of Fallot. FIMH 2011: 180-187 - [c18]Kayhan N. Batmanghelich, Dong Hye Ye, Kilian M. Pohl, Ben Taskar, Christos Davatzikos:
Disease classification and prediction via semi-supervised dimensionality reduction. ISBI 2011: 1086-1090 - [c17]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: 1391-1395 - [c16]Bilwaj Gaonkar, Kilian M. Pohl, Christos Davatzikos:
Pattern Based Morphometry. MICCAI (2) 2011: 459-466 - [c15]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: 532-540 - [c14]Dong Hye Ye, Kilian M. Pohl, Christos Davatzikos:
Semi-supervised Pattern Classification: Application to Structural MRI of Alzheimer's Disease. PRNI 2011: 1-4 - 2010
- [c13]Dong Hye Ye, Kilian M. Pohl, Harold Litt, Christos Davatzikos:
Groupwise morphometric analysis based on high dimensional clustering. CVPR Workshops 2010: 47-54 - [c12]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: 855-862 - [c11]Arnon Amir, David Beymer, Julia Grace, Hayit Greenspan, Daniel Gruhl, Allen Hobbs, Kilian M. Pohl, Tanveer F. Syeda-Mahmood, Joseph Terdiman, Fei Wang:
AALIM: A Cardiac Clinical Decision Support System Powered By Advanced Multi-modal Analytics. MedInfo 2010: 846-850 - 2009
- [c10]Kilian M. Pohl, Mert R. Sabuncu:
A Unified Framework for MR Based Disease Classification. IPMI 2009: 300-313 - 2008
- [c9]Ender Konukoglu, William M. Wells III, Sébastien Novellas, Nicholas Ayache, Ron Kikinis, Peter M. Black, Kilian M. Pohl:
Monitoring slowly evolving tumors. ISBI 2008: 812-815 - [c8]Kirby G. Vosburgh, Jeffrey A. Stoll, Vicki Noble, Kilian M. Pohl, Raúl San José Estépar, Barnabás Takács:
Image Registration Assists Novice Operators in Ultrasound Assessment of Abdominal Trauma. MMVR 2008: 532-537 - 2007
- [j3]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:
Using the logarithm of odds to define a vector space on probabilistic atlases. Medical Image Anal. 11(5): 465-477 (2007) - [j2]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:
A Hierarchical Algorithm for MR Brain Image Parcellation. IEEE Trans. Medical Imaging 26(9): 1201-1212 (2007) - [c7]Kilian M. Pohl, Ron Kikinis, William M. Wells III:
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework. IPMI 2007: 26-37 - 2006
- [j1]Kilian M. Pohl, John W. Fisher III, W. Eric L. Grimson, Ron Kikinis, William M. Wells III:
A Bayesian model for joint segmentation and registration. NeuroImage 31(1): 228-239 (2006) - [c6]Kilian M. Pohl, John W. Fisher III, Martha Elizabeth Shenton, Robert W. McCarley, W. Eric L. Grimson, Ron Kikinis, William M. Wells III:
Logarithm Odds Maps for Shape Representation. MICCAI (2) 2006: 955-963 - 2005
- [c5]Kilian M. Pohl, John W. Fisher III, Ron Kikinis, W. Eric L. Grimson, William M. Wells III:
Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images. CVBIA 2005: 489-498 - [c4]Kilian M. Pohl, John W. Fisher III, James J. Levitt, Martha Elizabeth Shenton, Ron Kikinis, W. Eric L. Grimson, William M. Wells III:
A Unifying Approach to Registration, Segmentation, and Intensity Correction. MICCAI 2005: 310-318 - 2004
- [c3]Kilian M. Pohl, W. Eric L. Grimson, Sylvain Bouix, Ron Kikinis:
Anatomical Guided Segmentation with Non-Stationary Tissue Class Distributions in an Expectation-Maximization Framework. ISBI 2004: 81-84 - [c2]Kilian M. Pohl, Simon K. Warfield, Ron Kikinis, W. Eric L. Grimson, William M. Wells III:
Coupling Statistical Segmentation and PCA Shape Modeling. MICCAI (1) 2004: 151-159 - 2002
- [c1]Kilian M. Pohl, William M. Wells III, Alexandre Guimond, Kiyoto Kasai, Martha Elizabeth Shenton, Ron Kikinis, W. Eric L. Grimson, Simon K. Warfield:
Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images. MICCAI (1) 2002: 564-571
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