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Kilian M. Pohl
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2020 – today
- 2024
- [j25]Soopil Kim
, Heejung Park, Myeongkyun Kang
Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. Medical Image Anal. 95: 103156 (2024) - [j24]Wei Peng
Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs. Medical Image Anal. 98: 103325 (2024) - [j23]Mark Endo, Favour Nerrise, Qingyu Zhao, Edith V. Sullivan, Li Fei-Fei, Victor W. Henderson, Kilian M. Pohl, Kathleen L. Poston, Ehsan Adeli:
Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases. Nat. Mac. Intell. 6(9): 1034-1045 (2024) - [j22]Myeongkyun Kang
FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. Pattern Recognit. 149: 110230 (2024) - [c69]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 - [c68]Magdalini Paschali, Yu Hang Jiang, Spencer Siegel, Camila González, Kilian M. Pohl, Akshay Chaudhari, Qingyu Zhao:
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging. PRIME@MICCAI 2024: 24-34 - [c67]Jocasta Manasseh-Lewis
Neurocognitive Latent Space Regularization for Multi-label Diagnosis from MRI. PRIME@MICCAI 2024: 185-195 - [c66]Jiaqi Wu, Wei Peng
Evaluating the Quality of Brain MRI Generators. MICCAI (10) 2024: 297-307 - [c65]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl:
SOM2LM: Self-Organized Multi-Modal Longitudinal Maps. MICCAI (2) 2024: 400-410 - [i30]Wei Peng, Tian Xia, Fabio De Sousa Ribeiro, Tomas M. Bosschieter, Ehsan Adeli-Mosabbeb, Qingyu Zhao, Ben Glocker, Kilian M. Pohl:
Latent 3D Brain MRI Counterfactual. CoRR abs/2409.05585 (2024) - [i29]Yixin Wang, Wei Peng, Yu Zhang, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl:
Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning. CoRR abs/2409.13887 (2024) - [i28]Magdalini Paschali, Yu Hang Jiang, Spencer Siegel, Camila González, Kilian M. Pohl, Akshay Chaudhari, Qingyu Zhao:
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging. CoRR abs/2410.00946 (2024) - [i27]Camila González, Yanis Miraoui, Yiran Fan, Ehsan Adeli, Kilian M. Pohl:
SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis. CoRR abs/2410.07201 (2024) - 2023
- [c64]Wei Peng
Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model. MICCAI (8) 2023: 14-24 - [c63]Yixin Wang, Wei Peng
Imputing Brain Measurements Across Data Sets via Graph Neural Networks. PRIME@MICCAI 2023: 172-183 - [c62]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. MICCAI (1) 2023: 279-289 - [c61]Myeongkyun Kang
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
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
Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment. Medical Image Anal. 75: 102246 (2022) - [j20]Jiahong Ouyang
Self-supervised learning of neighborhood embedding for longitudinal MRI. Medical Image Anal. 82: 102571 (2022) - [j19]Jiahong Ouyang
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
Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. PRIME@MICCAI 2022: 13-23 - [c58]Ayush Singla
Multiple Instance Neuroimage Transformer. PRIME@MICCAI 2022: 36-48 - [c57]Mark Endo
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
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome. MICCAI (1) 2022: 231-240 - [c55]Anthony Vento, Qingyu Zhao
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
Longitudinal self-supervised learning. Medical Image Anal. 71: 102051 (2021) - [j17]Mandy Lu, Qingyu Zhao, Kathleen L. Poston
Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos. Medical Image Anal. 73: 102179 (2021) - [j16]Jiahong Ouyang
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
Metadata Normalization. CVPR 2021: 10917-10927 - [c53]Zixuan Liu, Ehsan Adeli
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. IPMI 2021: 71-82 - [c52]Jiahong Ouyang
Representation Disentanglement for Multi-modal Brain MRI Analysis. IPMI 2021: 321-333 - [c51]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli
Self-supervised Longitudinal Neighbourhood Embedding. MICCAI (2) 2021: 80-89 - [c50]Anastasia Butskova, Rain Juhl, Dzenan Zukic, Aashish Chaudhary
Adversarial Bayesian Optimization for Quantifying Motion Artifact Within MRI. PRIME@MICCAI 2021: 83-92 - [c49]Qingyu Zhao, Ehsan Adeli
Longitudinal Correlation Analysis for Decoding Multi-modal Brain Development. MICCAI (7) 2021: 400-409 - [c48]Ehsan Adeli-Mosabbeb
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
Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain. NeuroImage 223: 117293 (2020) - [j14]Ehsan Adeli
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
Inpainting Cropped Diffusion MRI Using Deep Generative Models. PRIME@MICCAI 2020: 91-100 - [c46]Nicolas Honnorat, Adolf Pfefferbaum, Edith V. Sullivan
Deep Parametric Mixtures for Modeling the Functional Connectome. PRIME@MICCAI 2020: 133-143 - [c45]Soham Gadgil
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis. MICCAI (7) 2020: 528-538 - [c44]Mandy Lu, Kathleen L. Poston
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)
2010 – 2019
- 2019
- [c43]Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. IPMI 2019: 867-879 - [c42]Nicolas Honnorat, Ehsan Adeli
Covariance Shrinkage for Dynamic Functional Connectivity. CNI@MICCAI 2019: 32-41 - [c41]Tuo Leng, Qingyu Zhao, Chao Yang, Zhufu Lu, Ehsan Adeli
Data Augmentation Based on Substituting Regional MRIs Volume Scores. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 32-41 - [c40]Qingyu Zhao, Ehsan Adeli
Confounder-Aware Visualization of ConvNets. MLMI@MICCAI 2019: 328-336 - [c39]Qingyu Zhao, Ehsan Adeli
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
Chained regularization for identifying brain patterns specific to HIV infection. NeuroImage 183: 425-437 (2018) - [j12]Elena Bernardis, Yong Zhang, Ender Konukoglu, Yangming Ou
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
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification. MLMI@MICCAI 2018: 337-345 - [c36]Ehsan Adeli
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
Computing group cardinality constraint solutions for logistic regression problems. Medical Image Anal. 35: 58-69 (2017) - [j10]Marc Niethammer, Kilian M. Pohl
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
3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI. FIMH 2017: 481-492 - 2016
- [j9]Kilian M. Pohl
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
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
Auto-encoding of discriminating morphometry from cardiac MRI. ISBI 2014: 217-221 - 2013
- [j6]Ender Konukoglu, Ben Glocker
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
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
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
GLISTR: Glioma Image Segmentation and Registration. IEEE Trans. Medical Imaging 31(10): 1941-1954 (2012) - [j4]Ender Konukoglu, Ben Glocker
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
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
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
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
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
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
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
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
Shape-based similarity retrieval of Doppler images for clinical decision support. CVPR 2010: 855-862 - [c11]Arnon Amir
AALIM: A Cardiac Clinical Decision Support System Powered By Advanced Multi-modal Analytics. MedInfo 2010: 846-850
2000 – 2009
- 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
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
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
A Bayesian model for joint segmentation and registration. NeuroImage 31(1): 228-239 (2006) - [c6]Kilian M. Pohl, John W. Fisher III
Logarithm Odds Maps for Shape Representation. MICCAI (2) 2006: 955-963 - 2005
- [b1]Kilian M. Pohl:
Prior information for brain parcellation. Massachusetts Institute of Technology, Cambridge, MA, USA, 2005 - [c5]Kilian M. Pohl, John W. Fisher III
Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images. CVBIA 2005: 489-498 - [c4]Kilian M. Pohl, John W. Fisher 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
Coauthor Index
[j25] [j24] [j23] [j22] [c69] [c67] [c65] [i30] [i29] [i27] [c64] [c62] [c61] [c60] [i26] [i24] [i23] [i22] [j21] [j20] [j19] [c59] [c58] [c57] [c56] [c55] [i21] [i20] [i19] [i18] [i17] [j18] [j17] [j16] [c54] [c53] [c52] [c51] [c49] [c48] [i16] [i15] [i14] [i13] [i12] [j15] [j14] [c47] [c45] [c44] [i11] [i10] [i9] [i8] [c43] [c42] [c41] [c40] [c39] [e2] [i7] [i6] [i5] [i4] [j13] [c37] [c36] [i3]
[j24] [j23] [c68] [c65] [i30] [i29] [i28] [c64] [c63] [c62] [c60] [i26] [i25] [i24] [i23] [j21] [j20] [j19] [c59] [c58] [c56] [c55] [i20] [i19] [i18] [i17] [j18] [j17] [j16] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [i16] [i15] [i14] [i13] [i12] [j15] [c47] [c45] [i11] [i10] [i9] [c43] [c42] [c41] [c40] [c39] [i7] [i6] [i5] [i4] [j13] [c38]
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