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ORCIDEhsan Adeli-Mosabbeb
Ehsan Adeli 0001 – احسان عادلی مسبب
Person information
- unicode name: احسان عادلی مسبب
- affiliation (since 2017): Stanford University, Department of Computer Science and Department of Psychiatry and Behavioral Sciences, Stanford, CA, USA
- affiliation (2014 - 2017): University of North Carolina at Chapel Hill, Department of Radiology and Biomedical Research Imaging Center (BRIC), Chapel Hill, NC, USA
- affiliation (PhD 2013): Iran University of Science and Technology, Computer Engineering Department, Tehran, Iran
- affiliation (2011 - 2012): Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA
Other persons with the same name
- Ehsan Adeli — disambiguation page
- Ehsan Adeli 0002
![[0000-0001-9881-6099]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9881-6099")
— Technical University of Braunschweig, Institute of Scientific Computing, Braunschweig, Germany - Ehsan Adeli 0003 — University of Notre Dame, IN, USA
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2020 – today
- 2025
[e11]Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas:
Predictive Intelligence in Medicine - 7th International Workshop, PRIME 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15155, Springer 2025, ISBN 978-3-031-74560-7 [contents]- [e10]Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas:
Predictive Intelligence in Medicine - 7th International Workshop, PRIME 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15155, Springer 2025, ISBN 978-3-031-74560-7 [contents] - 2024
- [j49]Yanchen Wang, Adam Turnbull, Yunlong Xu, Kathi L. Heffner, Feng Vankee Lin, Ehsan Adeli:
Vision-based estimation of fatigue and engagement in cognitive training sessions. Artif. Intell. Medicine 154: 102923 (2024) - [j48]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) - [j47]Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou:
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Anal. 97: 103280 (2024) - [j46]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) - [j45]Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof:
Medical Image Segmentation Review: The Success of U-Net. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10076-10095 (2024) - [j44]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) - [c87]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 - [c86]Jensen Hwa, Qingyu Zhao, Aditya Lahiri, Adnan Masood, Babak Salimi, Ehsan Adeli:
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation. CVPR Workshops 2024: 103-112 - [c85]Haoyu Chen, Hao Tang, Ehsan Adeli, Guoying Zhao:
Towards Robust 3D Pose Transfer with Adversarial Learning. CVPR 2024: 2295-2304 - [c84]Jocasta Manasseh-Lewis, Felipe Godoy, Wei Peng, Robert Paul, Ehsan Adeli-Mosabbeb, Kilian M. Pohl:
Neurocognitive Latent Space Regularization for Multi-label Diagnosis from MRI. PRIME@MICCAI 2024: 185-195 - [c83]Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl:
SOM2LM: Self-Organized Multi-Modal Longitudinal Maps. MICCAI (2) 2024: 400-410 - [i77]Tiange Xiang, Adam Sun, Scott L. Delp, Kazuki Kozuka, Li Fei-Fei, Ehsan Adeli:
Wild2Avatar: Rendering Humans Behind Occlusions. CoRR abs/2401.00431 (2024) - [i76]Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin A. Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley J. Llorens, Hoi Vo, Katsushi Ikeuchi, Li Fei-Fei, Jianfeng Gao, Naoki Wake, Qiuyuan Huang:
An Interactive Agent Foundation Model. CoRR abs/2402.05929 (2024) - [i75]Haoyu Chen, Hao Tang, Ehsan Adeli, Guoying Zhao:
Towards Robust 3D Pose Transfer with Adversarial Learning. CoRR abs/2404.02242 (2024) - [i74]Jensen Hwa, Qingyu Zhao, Aditya Lahiri, Adnan Masood, Babak Salimi, Ehsan Adeli:
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation. CoRR abs/2404.13798 (2024) - [i73]Zane Durante, Robathan Harries, Edward Vendrow, Zelun Luo, Yuta Kyuragi, Kazuki Kozuka, Li Fei-Fei, Ehsan Adeli:
Few-Shot Classification of Interactive Activities of Daily Living (InteractADL). CoRR abs/2406.01662 (2024) - [i72]Adam Sun, Tiange Xiang, Scott L. Delp, Li Fei-Fei, Ehsan Adeli:
OccFusion: Rendering Occluded Humans with Generative Diffusion Priors. CoRR abs/2407.00316 (2024) - [i71]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) - [i70]Sven Lüpke, Yousef Yeganeh, Ehsan Adeli, Nassir Navab, Azade Farshad:
Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis. CoRR abs/2409.13532 (2024) - [i69]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) - [i68]Camila González, Yanis Miraoui, Yiran Fan, Ehsan Adeli, Kilian M. Pohl:
SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis. CoRR abs/2410.07201 (2024) - [i67]Shizhe He, Magdalini Paschali, Jiahong Ouyang, Adnan Masood, Akshay Chaudhari, Ehsan Adeli:
SOE: SO(3)-Equivariant 3D MRI Encoding. CoRR abs/2410.12053 (2024) - 2023
- [c82]Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei:
Rendering Humans from Object-Occluded Monocular Videos. ICCV 2023: 3216-3227 - [c81]Yousef Yeganeh, Azade Farshad, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab:
Transformers Pay Attention to Convolutions Leveraging Emerging Properties of ViTs by Dual Attention-Image Network. ICCV (Workshops) 2023: 2296-2307 - [c80]Yousef Yeganeh, Güktug Güvercin, Rui Xiao, Amr Abu-zer, Ehsan Adeli, Azade Farshad, Nassir Navab:
SCOPE: Structural Continuity Preservation for Retinal Vessel Segmentation. GRAIL/OCELOT@MICCAI 2023: 3-13 - [c79]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 - [c78]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 - [c77]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 - [c76]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 - [e9]Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas, Ghada Zamzmi:
Predictive Intelligence in Medicine - 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14277, Springer 2023, ISBN 978-3-031-46004-3 [contents] - [e8]Guoying Zhao, Björn W. Schuller, Ehsan Adeli, Tingshao Zhu, Haoyu Chen:
Proceedings of IJCAI-2023 Workshop&Challenge on Micro-gesture Analysis for Hidden Emotion Understanding (MiGA 2023) co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macau, China, August 21-22, 2023. CEUR Workshop Proceedings 3522, CEUR-WS.org 2023 [contents] - [i66]Yanchen Wang, Yunlong Xu, Feng Vankee Lin, Ehsan Adeli:
Recurrent Transformer Encoders for Vision-based Estimation of Fatigue and Engagement in Cognitive Training Sessions. CoRR abs/2304.12470 (2023) - [i65]Yousef Yeganeh, Azade Farshad, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab:
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation. CoRR abs/2304.14571 (2023) - [i64]Yousef Yeganeh, Azade Farshad, Güktug Güvercin, Amr Abu-zer, Rui Xiao, Yongjian Tang, Ehsan Adeli, Nassir Navab:
SCOPE: Structural Continuity Preservation for Medical Image Segmentation. CoRR abs/2304.14572 (2023) - [i63]Anirudh Sriram, Adrien Gaidon, Jiajun Wu, Juan Carlos Niebles, Li Fei-Fei, Ehsan Adeli:
HomE: Homography-Equivariant Video Representation Learning. CoRR abs/2306.01623 (2023) - [i62]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) - [i61]Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei:
Rendering Humans from Object-Occluded Monocular Videos. CoRR abs/2308.04622 (2023) - [i60]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) - [i59]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) - [i58]Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou:
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. CoRR abs/2310.07781 (2023) - [i57]Pavel Jahoda, Azade Farshad, Yousef Yeganeh, Ehsan Adeli, Nassir Navab:
PRISM: Progressive Restoration for Scene Graph-based Image Manipulation. CoRR abs/2311.02247 (2023) - [i56]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
- [j43]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) - [j42]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) - [j41]Sihang Zhou, Dong Nie, Ehsan Adeli, Qian Wei, Xuhua Ren, Xinwang Liu, En Zhu, Jianping Yin, Qian Wang, Dinggang Shen:
Semantic instance segmentation with discriminative deep supervision for medical images. Medical Image Anal. 82: 102626 (2022) - [j40]Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang, Xianzhi Wang:
Generative adversarial U-Net for domain-free few-shot medical diagnosis. Pattern Recognit. Lett. 157: 112-118 (2022) - [j39]Yu Zhang, Han Zhang, Ehsan Adeli, Xiaobo Chen, Mingxia Liu, Dinggang Shen:
Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis. IEEE Trans. Cybern. 52(7): 6822-6833 (2022) - [j38]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) - [c75]Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, Daniel L. Rubin:
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. CVPR 2022: 10051-10061 - [c74]Carlos Hinojosa, Miguel Marquez, Henry Arguello, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles:
PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens. ECCV (4) 2022: 314-332 - [c73]Stephen Su, Samuel Kwong, Qingyu Zhao, De-An Huang, Juan Carlos Niebles, Ehsan Adeli:
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding. ECCV Workshops (6) 2022: 317-333 - [c72]Santosh Kumar Yadav, Palaash Agrawal, Kamlesh Tiwari, Ehsan Adeli, Hari Mohan Pandey, Ali Akbar Shaikh:
WTM: Weighted Temporal Attention Module for Group Activity Recognition. IJCNN 2022: 1-8 - [c71]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 - [c70]Ayush Singla, Qingyu Zhao, Daniel K. Do, Yuyin Zhou, Kilian M. Pohl, Ehsan Adeli:
Multiple Instance Neuroimage Transformer. PRIME@MICCAI 2022: 36-48 - [c69]Reza Azad, Moein Heidari, Julien Cohen-Adad, Ehsan Adeli, Dorit Merhof:
Intervertebral Disc Labeling with Learning Shape Information, a Look once Approach. PRIME@MICCAI 2022: 49-59 - [c68]Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, Dorit Merhof:
TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation. PRIME@MICCAI 2022: 91-102 - [c67]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 - [c66]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 - [c65]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 - [c64]Zelun Luo, Zane Durante, Linden Li, Wanze Xie, Ruochen Liu, Emily Jin, Zhuoyi Huang, Lun Yu Li, Jiajun Wu, Juan Carlos Niebles, Ehsan Adeli, Fei-Fei Li:
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing. NeurIPS 2022 - [e7]Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas:
Predictive Intelligence in Medicine - 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13564, Springer 2022, ISBN 978-3-031-16918-2 [contents] - [i55]Reza Azad, Moein Heidari, Julien Cohen-Adad, Ehsan Adeli, Dorit Merhof:
Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach. CoRR abs/2204.02943 (2022) - [i54]Mohammad Eslami, Solale Tabarestani, Ehsan Adeli, Glyn Elwyn, Tobias Elze, Mengyu Wang, Nazlee Zebardast, Nassir Navab, Malek Adjouadi:
Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning. CoRR abs/2205.04599 (2022) - [i53]Carlos Hinojosa, Miguel Marquez, Henry Arguello, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles:
PrivHAR: Recognizing Human Actions From Privacy-preserving Lens. CoRR abs/2206.03891 (2022) - [i52]Kamran Alipour, Aditya Lahiri, Ehsan Adeli, Babak Salimi, Michael J. Pazzani:
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces. CoRR abs/2206.05257 (2022) - [i51]Aditya Lahiri, Kamran Alipour, Ehsan Adeli, Babak Salimi:
Combining Counterfactuals With Shapley Values To Explain Image Models. CoRR abs/2206.07087 (2022) - [i50]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) - [i49]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) - [i48]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) - [i47]Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, Dorit Merhof:
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation. CoRR abs/2208.00713 (2022) - [i46]Ayush Singla, Qingyu Zhao, Daniel K. Do, Yuyin Zhou, Kilian M. Pohl, Ehsan Adeli:
Multiple Instance Neuroimage Transformer. CoRR abs/2208.09567 (2022) - [i45]Stephen Su, Samuel Kwong, Qingyu Zhao, De-An Huang, Juan Carlos Niebles, Ehsan Adeli:
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding. CoRR abs/2208.10077 (2022) - [i44]Edward Vendrow, Satyajit Kumar, Ehsan Adeli, Hamid Rezatofighi:
SoMoFormer: Multi-Person Pose Forecasting with Transformers. CoRR abs/2208.14023 (2022) - [i43]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) - [i42]Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof:
Medical Image Segmentation Review: The success of U-Net. CoRR abs/2211.14830 (2022) - 2021
- [j37]Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen:
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling. Medical Image Anal. 71: 102039 (2021) - [j36]Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl:
Longitudinal self-supervised learning. Medical Image Anal. 71: 102051 (2021) - [j35]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) - [j34]Mohammad M. Arzani, Mahmood Fathy, Ahmad Akbari Azirani, Ehsan Adeli:
Skeleton-based structured early activity prediction. Multim. Tools Appl. 80(15): 23023-23049 (2021) - [j33]Jie Xue, Kelei He, Dong Nie, Ehsan Adeli, Zhenshan Shi, Seong-Whan Lee, Yuanjie Zheng, Xiyu Liu, Dengwang Li, Dinggang Shen:
Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation. IEEE Trans. Cybern. 51(4): 2153-2165 (2021) - [j32]Mohammad M. Arzani, Mahmood Fathy, Ahmad Akbari Azirani, Ehsan Adeli:
Switching Structured Prediction for Simple and Complex Human Activity Recognition. IEEE Trans. Cybern. 51(12): 5859-5870 (2021) - [j31]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) - [j30]Mohammad Sabokrou, Mahmood Fathy, Guoying Zhao, Ehsan Adeli:
Deep End-to-End One-Class Classifier. IEEE Trans. Neural Networks Learn. Syst. 32(2): 675-684 (2021) - [c63]Nishant Rai, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles:
CoCon: Cooperative-Contrastive Learning. CVPR Workshops 2021: 3384-3393 - [c62]Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Jürgen Gall:
3D CNNs With Adaptive Temporal Feature Resolutions. CVPR 2021: 4731-4740 - [c61]Zelun Luo, Daniel J. Wu, Ehsan Adeli, Li Fei-Fei:
Scalable Differential Privacy With Sparse Network Finetuning. CVPR 2021: 5059-5068 - [c60]Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli:
Metadata Normalization. CVPR 2021: 10917-10927 - [c59]Nishant Rai, Haofeng Chen, Jingwei Ji, Rishi Desai, Kazuki Kozuka, Shun Ishizaka, Ehsan Adeli, Juan Carlos Niebles:
Home Action Genome: Cooperative Compositional Action Understanding. CVPR 2021: 11184-11193 - [c58]Vida Adeli, Mahsa Ehsanpour, Ian D. Reid, Juan Carlos Niebles, Silvio Savarese, Ehsan Adeli, Hamid Rezatofighi:
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild. ICCV 2021: 13370-13380 - [c57]Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao:
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. IPMI 2021: 71-82 - [c56]Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk:
Representation Disentanglement for Multi-modal Brain MRI Analysis. IPMI 2021: 321-333 - [c55]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 - [c54]Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl:
Longitudinal Correlation Analysis for Decoding Multi-modal Brain Development. MICCAI (7) 2021: 400-409 - [c53]Zelun Luo, Wanze Xie, Siddharth Kapoor, Yiyun Liang, Michael Cooper, Juan Carlos Niebles, Ehsan Adeli, Fei-Fei Li:
MOMA: Multi-Object Multi-Actor Activity Parsing. NeurIPS 2021: 17939-17955 - [c52]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 - [e6]Islem Rekik, Ehsan Adeli, Sang Hyun Park, Julia A. Schnabel:
Predictive Intelligence in Medicine - 4th International Workshop, PRIME 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 12928, Springer 2021, ISBN 978-3-030-87601-2 [contents] - [i41]Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang:
Generative Adversarial U-Net for Domain-free Medical Image Augmentation. CoRR abs/2101.04793 (2021) - [i40]Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L. Yuille, Yuyin Zhou:
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. CoRR abs/2102.04306 (2021) - [i39]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) - [i38]Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk:
Representation Disentanglement for Multi-modal MR Analysis. CoRR abs/2102.11456 (2021) - [i37]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) - [i36]Vida Adeli, Mahsa Ehsanpour, Ian D. Reid, Juan Carlos Niebles, Silvio Savarese, Ehsan Adeli, Hamid Rezatofighi:
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild. CoRR abs/2104.04029 (2021) - [i35]Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli:
Metadata Normalization. CoRR abs/2104.09052 (2021) - [i34]Nishant Rai, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles:
CoCon: Cooperative-Contrastive Learning. CoRR abs/2104.14764 (2021) - [i33]Nishant Rai, Haofeng Chen, Jingwei Ji, Rishi Desai, Kazuki Kozuka, Shun Ishizaka, Ehsan Adeli, Juan Carlos Niebles:
Home Action Genome: Cooperative Compositional Action Understanding. CoRR abs/2105.05226 (2021) - [i32]Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Li Fei-Fei, Ehsan Adeli, Daniel L. Rubin:
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. CoRR abs/2106.06047 (2021) - [i31]Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl:
Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development. CoRR abs/2107.04724 (2021) - [i30]Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - 2020
- [j29]Mostafa Mahmoud Ibrahim, Qiong Liu, Rizwan Khan, Jingyu Yang, Ehsan Adeli, You Yang:
Depth map artefacts reduction: a review. IET Image Process. 14(12): 2630-2644 (2020) - [j28]Shengzhou Xu, Ehsan Adeli, Jie-Zhi Cheng, Lei Xiang, Yang Li, Seong-Whan Lee, Dinggang Shen:
Mammographic mass segmentation using multichannel and multiscale fully convolutional networks. Int. J. Imaging Syst. Technol. 30(4): 1095-1107 (2020) - [j27]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) - [j26]Hancan Zhu, Ehsan Adeli, Feng Shi, Dinggang Shen:
FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation. Neuroinformatics 18(2): 319-331 (2020) - [j25]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) - [j24]Qingbo Yin, Ehsan Adeli, Liran Shen, Dinggang Shen:
Population-guided large margin classifier for high-dimension low-sample-size problems. Pattern Recognit. 97 (2020) - [j23]Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles:
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. IEEE Robotics Autom. Lett. 5(2): 3485-3492 (2020) - [j22]Hsu-Kuang Chiu, Ehsan Adeli, Juan Carlos Niebles:
Segmenting the Future. IEEE Robotics Autom. Lett. 5(3): 4202-4209 (2020) - [j21]Vida Adeli, Ehsan Adeli, Ian Reid, Juan Carlos Niebles, Hamid Rezatofighi:
Socially and Contextually Aware Human Motion and Pose Forecasting. IEEE Robotics Autom. Lett. 5(4): 6033-6040 (2020) - [j20]Sihang Zhou, Dong Nie, Ehsan Adeli, Jianping Yin, Jun Lian, Dinggang Shen:
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation. IEEE Trans. Image Process. 29: 461-475 (2020) - [j19]Ehsan Adeli-Mosabbeb, S. H. Rekik, Sang Hyun Park, Dinggang Shen:
Editorial: Predictive Intelligence in Biomedical and Health Informatics. IEEE J. Biomed. Health Informatics 24(2): 333-335 (2020) - [j18]Mohammad Eslami, Solale Tabarestani, Shadi Albarqouni, Ehsan Adeli, Nassir Navab, Malek Adjouadi:
Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography. IEEE Trans. Medical Imaging 39(7): 2553-2565 (2020) - [c51]Boxiao Pan, Zhangjie Cao, Ehsan Adeli, Juan Carlos Niebles:
Adversarial Cross-Domain Action Recognition with Co-Attention. AAAI 2020: 11815-11822 - [c50]Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles:
Spatio-Temporal Graph for Video Captioning With Knowledge Distillation. CVPR 2020: 10867-10876 - [c49]Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles:
Procedure Planning in Instructional Videos. ECCV (11) 2020: 334-350 - [c48]Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon:
It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction. ECCV (2) 2020: 759-776 - [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]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 - [c45]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 - [c44]Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles:
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision. WACV 2020: 2773-2782 - [e5]Islem Rekik, Ehsan Adeli, Sang Hyun Park, Maria del C. Valdés Hernández:
Predictive Intelligence in Medicine - Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12329, Springer 2020, ISBN 978-3-030-59353-7 [contents] - [i29]Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles:
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. CoRR abs/2002.08945 (2020) - [i28]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) - [i27]Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles:
Spatio-Temporal Graph for Video Captioning with Knowledge Distillation. CoRR abs/2003.13942 (2020) - [i26]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) - [i25]Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon:
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction. CoRR abs/2004.02025 (2020) - [i24]Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yinghuan Shi, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen:
TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation. CoRR abs/2005.07462 (2020) - [i23]Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl:
LSSL: Longitudinal Self-Supervised Learning. CoRR abs/2006.06930 (2020) - [i22]Vida Adeli, Ehsan Adeli, Ian Reid, Juan Carlos Niebles, Hamid Rezatofighi:
Socially and Contextually Aware Human Motion and Pose Forecasting. CoRR abs/2007.06843 (2020) - [i21]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) - [i20]Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Juergen Gall:
3D CNNs with Adaptive Temporal Feature Resolutions. CoRR abs/2011.08652 (2020)
2010 – 2019
- 2019
- [j17]Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen:
Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data. NeuroImage 185: 783-792 (2019) - [j16]Ehsan Adeli, Kim-Han Thung, Le An, Guorong Wu, Feng Shi, Tao Wang, Dinggang Shen:
Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 515-522 (2019) - [j15]Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen:
Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis. IEEE Trans. Biomed. Eng. 66(5): 1195-1206 (2019) - [j14]Dong Nie, Li Wang, Ehsan Adeli, Cuijin Lao, Weili Lin, Dinggang Shen:
3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation. IEEE Trans. Cybern. 49(3): 1123-1136 (2019) - [j13]Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen:
Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning. IEEE Trans. Medical Imaging 38(4): 909-918 (2019) - [c43]Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen:
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. AAAI 2019: 1085-1092 - [c42]Sasan Sharifipour, Hossein Fayyazi, Mohammad Sabokrou, Ehsan Adeli:
Unsupervised Feature Ranking and Selection Based on Autoencoders. ICASSP 2019: 3172-3176 - [c41]Borui Wang, Ehsan Adeli, Hsu-Kuang Chiu, De-An Huang, Juan Carlos Niebles:
Imitation Learning for Human Pose Prediction. ICCV 2019: 7123-7132 - [c40]Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli:
Self-Supervised Representation Learning via Neighborhood-Relational Encoding. ICCV 2019: 8009-8018 - [c39]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 - [c38]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 - [c37]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 - [c36]Milad Ahmadi, Mohammad Sabokrou, Mahmood Fathy, Reza Berangi, Ehsan Adeli:
Generative Adversarial Irregularity Detection in Mammography Images. PRIME@MICCAI 2019: 94-104 - [c35]Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Confounder-Aware Visualization of ConvNets. MLMI@MICCAI 2019: 328-336 - [c34]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 - [c33]Hsu-Kuang Chiu, Ehsan Adeli, Borui Wang, De-An Huang, Juan Carlos Niebles:
Action-Agnostic Human Pose Forecasting. WACV 2019: 1423-1432 - [e4]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] - [e3]Islem Rekik, Ehsan Adeli, Sang Hyun Park:
Predictive Intelligence in Medicine - Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11843, Springer 2019, ISBN 978-3-030-32280-9 [contents] - [i19]Qingbo Yin, Ehsan Adeli, Liran Shen, Dinggang Shen:
Population-Guided Large Margin Classifier for High-Dimension Low -Sample-Size Problems. CoRR abs/1901.01377 (2019) - [i18]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) - [i17]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) - [i16]Hsu-Kuang Chiu, Ehsan Adeli, Juan Carlos Niebles:
Segmenting the Future. CoRR abs/1904.10666 (2019) - [i15]Mohammad Eslami, Solale Tabarestani, Shadi Albarqouni, Ehsan Adeli, Nassir Navab, Malek Adjouadi:
Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography. CoRR abs/1906.10089 (2019) - [i14]Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles:
Procedure Planning in Instructional Videos. CoRR abs/1907.01172 (2019) - [i13]Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Confounder-Aware Visualization of ConvNets. CoRR abs/1907.12727 (2019) - [i12]Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli:
Self-Supervised Representation Learning via Neighborhood-Relational Encoding. CoRR abs/1908.10455 (2019) - [i11]Borui Wang, Ehsan Adeli, Hsu-Kuang Chiu, De-An Huang, Juan Carlos Niebles:
Imitation Learning for Human Pose Prediction. CoRR abs/1909.03449 (2019) - [i10]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) - [i9]Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles:
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision. CoRR abs/1911.01138 (2019) - [i8]Boxiao Pan, Zhangjie Cao, Ehsan Adeli, Juan Carlos Niebles:
Adversarial Cross-Domain Action Recognition with Co-Attention. CoRR abs/1912.10405 (2019) - 2018
- [j12]Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen:
Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection. Comput. Medical Imaging Graph. 67: 21-29 (2018) - [j11]Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen:
Landmark-based deep multi-instance learning for brain disease diagnosis. Medical Image Anal. 43: 157-168 (2018) - [j10]Kim-Han Thung, Pew-Thian Yap, Ehsan Adeli, Seong-Whan Lee, Dinggang Shen:
Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion. Medical Image Anal. 45: 68-82 (2018) - [j9]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) - [c32]Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen:
Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis. AAAI 2018: 4406-4413 - [c31]Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli:
AVID: Adversarial Visual Irregularity Detection. ACCV (6) 2018: 488-505 - [c30]Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, Ehsan Adeli:
Adversarially Learned One-Class Classifier for Novelty Detection. CVPR 2018: 3379-3388 - [c29]Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen:
Infant brain development prediction with latent partial multi-view representation learning. ISBI 2018: 1048-1051 - [c28]Maryamossadat Aghili, Solale Tabarestani, Malek Adjouadi, Ehsan Adeli:
Predictive Modeling of Longitudinal Data for Alzheimer's Disease Diagnosis Using RNNs. PRIME@MICCAI 2018: 112-119 - [c27]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 - [c26]Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, Dinggang Shen:
Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. MICCAI (4) 2018: 488-496 - [c25]Ehsan Adeli, Dongjin Kwon, Kilian M. Pohl:
Multi-label Transduction for Identifying Disease Comorbidity Patterns. MICCAI (3) 2018: 575-583 - [e2]Islem Rekik, Gözde B. Ünal, Ehsan Adeli, Sang Hyun Park:
PRedictive Intelligence in MEdicine - First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science 11121, Springer 2018, ISBN 978-3-030-00319-7 [contents] - [i7]Seyyed Hossein HasanPour, Mohammad Rouhani, Mohsen Fayyaz, Mohammad Sabokrou, Ehsan Adeli:
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet. CoRR abs/1802.06205 (2018) - [i6]Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, Ehsan Adeli:
Adversarially Learned One-Class Classifier for Novelty Detection. CoRR abs/1802.09088 (2018) - [i5]Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli:
AVID: Adversarial Visual Irregularity Detection. CoRR abs/1805.09521 (2018) - [i4]Soheil Esmaeilzadeh, Yao Yang, Ehsan Adeli:
End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN. CoRR abs/1806.05233 (2018) - [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) - [i2]Hsu-Kuang Chiu, Ehsan Adeli, Borui Wang, De-An Huang, Juan Carlos Niebles:
Action-Agnostic Human Pose Forecasting. CoRR abs/1810.09676 (2018) - 2017
- [j8]Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent C. Munsell, Guorong Wu:
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning. Medical Image Anal. 39: 218-230 (2017) - [c24]Mohammad M. Arzani, Mahmood Fathy, Hamid Aghajan, Ahmad Akbari Azirani, Kaamran Raahemifar, Ehsan Adeli:
Structured prediction with short/long-range dependencies for human activity recognition from depth skeleton data. IROS 2017: 560-567 - [c23]Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen:
Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status. MICCAI (3) 2017: 3-11 - [c22]Xiuyi Jia, Han Zhang, Ehsan Adeli, Dinggang Shen:
Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network. CNI@MICCAI 2017: 17-24 - [c21]Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen:
Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data. MICCAI (1) 2017: 40-48 - [c20]Xiaofeng Zhu, Kim-Han Thung, Ehsan Adeli, Yu Zhang, Dinggang Shen:
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data. MICCAI (3) 2017: 72-80 - 2016
- [j7]Ehsan Adeli, Feng Shi, Le An, Chong-Yaw Wee, Guorong Wu, Tao Wang, Dinggang Shen:
Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data. NeuroImage 141: 206-219 (2016) - [j6]Mingxia Liu, Daoqiang Zhang, Ehsan Adeli, Dinggang Shen:
Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis. IEEE Trans. Biomed. Eng. 63(7): 1473-1482 (2016) - [j5]Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen:
Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation. IEEE Trans. Image Process. 25(7): 3303-3315 (2016) - [c19]Yaser Souri, Erfan Noury, Ehsan Adeli:
Deep Relative Attributes. ACCV (5) 2016: 118-133 - [c18]Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen:
Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease. MICCAI (2) 2016: 1-8 - [c17]Le An, Ehsan Adeli, Mingxia Liu, Jun Zhang, Dinggang Shen:
Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis. MICCAI (2) 2016: 79-87 - [c16]Kim-Han Thung, Ehsan Adeli, Pew-Thian Yap, Dinggang Shen:
Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis. MICCAI (2) 2016: 88-96 - [c15]Dong Nie, Han Zhang, Ehsan Adeli, Luyan Liu, Dinggang Shen:
3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients. MICCAI (2) 2016: 212-220 - [c14]Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu:
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease. MICCAI (1) 2016: 291-299 - [e1]Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk:
Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings. Lecture Notes in Computer Science 10019, 2016, ISBN 978-3-319-47156-3 [contents] - 2015
- [j4]Ehsan Adeli-Mosabbeb, Mahmood Fathy:
Non-negative matrix completion for action detection. Image Vis. Comput. 39: 38-51 (2015) - [c13]Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen:
A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation. Patch-MI@MICCAI 2015: 1-9 - [c12]Mingxia Liu, Daoqiang Zhang, Ehsan Adeli-Mosabbeb, Dinggang Shen:
Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis. MCV@MICCAI 2015: 24-33 - [c11]Yue Gao, Ehsan Adeli-Mosabbeb, Minjeong Kim, Panteleimon Giannakopoulos, Sven Haller, Dinggang Shen:
Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance. MICCAI (2) 2015: 86-93 - [c10]Ehsan Adeli-Mosabbeb, Chong-Yaw Wee, Le An, Feng Shi, Dinggang Shen:
Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis. MCV@MICCAI 2015: 127-136 - [c9]Kim-Han Thung, Pew-Thian Yap, Ehsan Adeli-Mosabbeb, Dinggang Shen:
Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion. MICCAI (3) 2015: 527-534 - [c8]Ehsan Adeli-Mosabbeb, Kim-Han Thung, Le An, Feng Shi, Dinggang Shen:
Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis. NIPS 2015: 658-666 - [i1]Yaser Souri, Erfan Noury, Ehsan Adeli-Mosabbeb:
Deep Relative Attributes. CoRR abs/1512.04103 (2015) - 2014
- [j3]Ehsan Adeli-Mosabbeb, Mahmood Fathy:
Distributed matrix completion for large-scale multi-label classification. Intell. Data Anal. 18(6): 1137-1151 (2014) - [c7]Ehsan Adeli-Mosabbeb, Ricardo Silveira Cabral, Fernando De la Torre, Mahmood Fathy:
Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization. ACCV (5) 2014: 241-258 - 2013
- [j2]Ehsan Adeli-Mosabbeb, Kaamran Raahemifar, Mahmood Fathy:
Multi-View Human Activity Recognition in Distributed Camera Sensor Networks. Sensors 13(7): 8750-8770 (2013) - [c6]Ehsan Adeli-Mosabbeb, Kaamran Raahemifar, Mahmood Fathy:
Multi-view support vector machines for distributed activity recognition. ICDSC 2013: 1-2 - [c5]Ehsan Adeli-Mosabbeb, Kaamran Raahemifar, Mahmood Fathy:
Distributed activity recognition in camera networks via low-rank matrix recovery. ICDSC 2013: 1-2 - 2010
- [j1]Farhad Bayat, Ehsan Adeli-Mosabbeb, Ali Akbar Jalali, Farshad Bayat:
A non-parametric heuristic algorithm for convex and non-convex data clustering based on equipotential surfaces. Expert Syst. Appl. 37(4): 3318-3325 (2010)
2000 – 2009
- 2009
- [c4]Ehsan Adeli-Mosabbeb, Houman Abbasian, Mahmood Fathy:
Clustering Based Non-parametric Model for Shadow Detection in Video Sequences. IPCV 2009: 440-445 - 2008
- [c3]Ehsan Adeli-Mosabbeb, Mahmood Fathy:
3D Reconstruction of Walking Human based on Human Gait Knowledge. IPCV 2008: 196-202 - [c2]Adel Torkaman Rahmani, Alireza Saberi, Mehdi Mohammadi, Amin Nikanjam, Ehsan Adeli-Mosabbeb, Monireh Abdoos:
SHABaN Multi-agent Team To Herd Cows. ProMAS 2008: 248-252 - 2007
- [c1]Ehsan Adeli-Mosabbeb, Maryam Sadeghi, Mahmood Fathy:
A New Approach for Vehicle Detection in Congested Traffic Scenes Based on Strong Shadow Segmentation. ISVC (2) 2007: 427-436
Coauthor Index
[j48] [j46] [j44] [c87] [c84] [c83] [i71] [i69] [i68] [c79] [c78] [c77] [c76] [i62] [i60] [i59] [i56] [j43] [j42] [j38] [c71] [c70] [c67] [c66] [c65] [i50] [i49] [i48] [i46] [i43] [j36] [j35] [j31] [c60] [c57] [c56] [c55] [c54] [c52] [i39] [i38] [i37] [i35] [i31] [j27] [j25] [c47] [c46] [c45] [i28] [i26] [i23] [i21] [c39] [c38] [c37] [c35] [c34] [e4] [i18] [i17] [i13] [i10] [j9] [c27] [c25] [i3]
[j46] [c86] [c83] [i74] [i71] [i69] [c79] [c78] [c76] [i62] [i60] [i59] [j43] [j42] [j38] [c73] [c71] [c70] [c66] [c65] [i49] [i48] [i46] [i45] [i43] [j36] [j35] [j31] [c60] [c57] [c56] [c55] [c54] [c52] [i39] [i38] [i37] [i35] [i31] [j27] [c47] [c46] [i28] [i26] [i23] [c39] [c38] [c37] [c35] [c34] [i18] [i17] [i13] [i10] [j9]
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