A New Approach for Vehicle Detection in Congested Traffic Scenes Based on Strong Shadow Segmentation. - Ehsan Adeli-Mosabbeb; Maryam Sadeghi; Mahmood Fathy (ISVC (2), 2007)

3D Reconstruction of Walking Human based on Human Gait Knowledge. - Ehsan Adeli-Mosabbeb; Mahmood Fathy (IPCV, 2008)

SHABaN Multi-agent Team To Herd Cows. - Adel Torkaman Rahmani; Alireza Saberi; Mehdi Mohammadi; Amin Nikanjam; Ehsan Adeli-Mosabbeb; Monireh Abdoos (ProMAS, 2008)

Clustering Based Non-parametric Model for Shadow Detection in Video Sequences. - Ehsan Adeli-Mosabbeb; Houman Abbasian; Mahmood Fathy (IPCV, 2009)

A non-parametric heuristic algorithm for convex and non-convex data clustering based on equipotential surfaces. - Farhad Bayat; Ehsan Adeli-Mosabbeb; Ali Akbar Jalali 001; Farshad Bayat (Expert Syst. Appl., 2010)

Multi-view support vector machines for distributed activity recognition. - Ehsan Adeli-Mosabbeb; Kaamran Raahemifar; Mahmood Fathy (ICDSC, 2013)

Distributed activity recognition in camera networks via low-rank matrix recovery. - Ehsan Adeli-Mosabbeb; Kaamran Raahemifar; Mahmood Fathy (ICDSC, 2013)

Multi-View Human Activity Recognition in Distributed Camera Sensor Networks. - Ehsan Adeli-Mosabbeb; Kaamran Raahemifar; Mahmood Fathy (Sensors, 2013)

Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization. - Ehsan Adeli-Mosabbeb; Ricardo Silveira Cabral; Fernando De la Torre; Mahmood Fathy (ACCV (5), 2014)

Distributed matrix completion for large-scale multi-label classification. - Ehsan Adeli-Mosabbeb; Mahmood Fathy (Intell. Data Anal., 2014)

Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis. - Ehsan Adeli-Mosabbeb; Chong-Yaw Wee; Le An; Feng Shi 001; Dinggang Shen (MCV@MICCAI, 2015)

A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation. - Le An; Pei Zhang 002; Ehsan Adeli-Mosabbeb; Yan Wang 015; Guangkai Ma; Feng Shi 001; David S. Lalush; Weili Lin; Dinggang Shen (Patch-MI@MICCAI, 2015)

Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance. - Yue Gao 002; Ehsan Adeli-Mosabbeb; Minjeong Kim; Panteleimon Giannakopoulos; Sven Haller; Dinggang Shen (MICCAI (2), 2015)

Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis. - Mingxia Liu 001; Daoqiang Zhang; Ehsan Adeli-Mosabbeb; Dinggang Shen (MCV@MICCAI, 2015)

Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion. - Kim-Han Thung; Pew-Thian Yap; Ehsan Adeli-Mosabbeb; Dinggang Shen (MICCAI (3), 2015)

Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis. - Ehsan Adeli-Mosabbeb; Kim-Han Thung; Le An; Feng Shi 001; Dinggang Shen (NIPS, 2015)

Non-negative matrix completion for action detection. - Ehsan Adeli-Mosabbeb; Mahmood Fathy (Image Vis. Comput., 2015)

Deep Relative Attributes. - Yaser Souri; Erfan Noury; Ehsan Adeli 001 (ACCV (5), 2016)

Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis. - Le An; Ehsan Adeli 001; Mingxia Liu 001; Jun Zhang 018; Dinggang Shen (MICCAI (2), 2016)

Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease. - Luyan Liu; Qian Wang 001; Ehsan Adeli 001; Lichi Zhang; Han Zhang 002; Dinggang Shen (MICCAI (2), 2016)

3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients. - Dong Nie; Han Zhang 002; Ehsan Adeli 001; Luyan Liu; Dinggang Shen (MICCAI (2), 2016)

Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis. - Kim-Han Thung; Ehsan Adeli 001; Pew-Thian Yap; Dinggang Shen (MICCAI (2), 2016)

Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease. - Zhengxia Wang; Xiaofeng Zhu 001; Ehsan Adeli 001; Yingying Zhu 004; Chen Zu; Feiping Nie 001; Dinggang Shen; Guorong Wu 001 (MICCAI (1), 2016)

Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data. - Ehsan Adeli 001; Feng Shi 001; Le An; Chong-Yaw Wee; Guorong Wu 001; Tao Wang; Dinggang Shen (NeuroImage, 2016)

Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis. - Mingxia Liu 001; Daoqiang Zhang; Ehsan Adeli 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2016)

Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation. - Le An; Pei Zhang 002; Ehsan Adeli-Mosabbeb; Yan Wang 015; Guangkai Ma; Feng Shi 001; David S. Lalush; Weili Lin; Dinggang Shen (IEEE Trans. Image Process., 2016)

Structured prediction with short/long-range dependencies for human activity recognition from depth skeleton data. - Mohammad M. Arzani; Mahmood Fathy; Hamid Aghajan 001; Ahmad Akbari Azirani; Kaamran Raahemifar; Ehsan Adeli 001 (IROS, 2017)

Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data. - Ehsan Adeli 001; Yu Meng 003; Gang Li 001; Weili Lin; Dinggang Shen (MICCAI (1), 2017)

Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network. - Xiuyi Jia; Han Zhang 002; Ehsan Adeli 001; Dinggang Shen (CNI@MICCAI, 2017)

Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status. - Mingxia Liu 001; Jun Zhang 018; Ehsan Adeli 001; Dinggang Shen (MICCAI (3), 2017)

Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data. - Xiaofeng Zhu 001; Kim-Han Thung; Ehsan Adeli 001; Yu Zhang 009; Dinggang Shen (MICCAI (3), 2017)

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning. - Zhengxia Wang; Xiaofeng Zhu 001; Ehsan Adeli 001; Yingying Zhu 004; Feiping Nie 001; Brent C. Munsell; Guorong Wu 001 (Medical Image Anal., 2017)

Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis. - Changqing Zhang; Ehsan Adeli 001; Tao Zhou 002; Xiaobo Chen 001; Dinggang Shen (AAAI, 2018)

AVID: Adversarial Visual Irregularity Detection. - Mohammad Sabokrou; Masoud PourReza; Mohsen Fayyaz; Rahim Entezari; Mahmood Fathy; Jürgen Gall; Ehsan Adeli 001 (ACCV (6), 2018)

Adversarially Learned One-Class Classifier for Novelty Detection. - Mohammad Sabokrou; Mohammad Khalooei; Mahmood Fathy; Ehsan Adeli 001 (CVPR, 2018)

Multi-label Transduction for Identifying Disease Comorbidity Patterns. - Ehsan Adeli 001; Dongjin Kwon; Kilian M. Pohl (MICCAI (3), 2018)

Predictive Modeling of Longitudinal Data for Alzheimer's Disease Diagnosis Using RNNs. - Maryamossadat Aghili; Solale Tabarestani; Malek Adjouadi; Ehsan Adeli 001 (PRIME@MICCAI, 2018)

End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification. - Soheil Esmaeilzadeh; Dimitrios Ioannis Belivanis; Kilian M. Pohl; Ehsan Adeli 001 (MLMI@MICCAI, 2018)

Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. - Sihang Zhou 001; Dong Nie; Ehsan Adeli 001; Yaozong Gao; Li Wang 026; Jianping Yin; Dinggang Shen (MICCAI (4), 2018)

Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection. - Luyan Liu; Qian Wang 001; Ehsan Adeli 001; Lichi Zhang; Han Zhang 002; Dinggang Shen (Comput. Medical Imaging Graph., 2018)

Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet. - Seyyed Hossein HasanPour; Mohammad Rouhani; Mohsen Fayyaz; Mohammad Sabokrou; Ehsan Adeli 001 (CoRR, 2018)

End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN. - Soheil Esmaeilzadeh; Yao Yang; Ehsan Adeli 001 (CoRR, 2018)

Landmark-based deep multi-instance learning for brain disease diagnosis. - Mingxia Liu 001; Jun Zhang 018; Ehsan Adeli 001; Dinggang Shen (Medical Image Anal., 2018)

Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion. - Kim-Han Thung; Pew-Thian Yap; Ehsan Adeli 001; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2018)

Chained regularization for identifying brain patterns specific to HIV infection. - Ehsan Adeli 001; Dongjin Kwon; Qingyu Zhao; Adolf Pfefferbaum; Natalie M. Zahr; Edith V. Sullivan; Kilian M. Pohl (NeuroImage, 2018)

Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. - Dong Nie; Li Wang 026; Lei Xiang; Sihang Zhou 001; Ehsan Adeli 001; Dinggang Shen (AAAI, 2019)

Unsupervised Feature Ranking and Selection Based on Autoencoders. - Sasan Sharifipour; Hossein Fayyazi; Mohammad Sabokrou; Ehsan Adeli 001 (ICASSP, 2019)

Self-Supervised Representation Learning via Neighborhood-Relational Encoding. - Mohammad Sabokrou; Mohammad Khalooei; Ehsan Adeli 001 (ICCV, 2019)

Imitation Learning for Human Pose Prediction. - Borui Wang; Ehsan Adeli 001; Hsu-Kuang Chiu; De-An Huang; Juan Carlos Niebles (ICCV, 2019)

Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. - Qingyu Zhao; Nicolas Honnorat; Ehsan Adeli 001; Adolf Pfefferbaum; Edith V. Sullivan; Kilian M. Pohl (IPMI, 2019)

Generative Adversarial Irregularity Detection in Mammography Images. - Milad Ahmadi; Mohammad Sabokrou; Mahmood Fathy; Reza Berangi; Ehsan Adeli 001 (PRIME@MICCAI, 2019)

Covariance Shrinkage for Dynamic Functional Connectivity. - Nicolas Honnorat; Ehsan Adeli 001; Qingyu Zhao; Adolf Pfefferbaum; Edith V. Sullivan; Kilian M. Pohl (CNI@MICCAI, 2019)

Data Augmentation Based on Substituting Regional MRIs Volume Scores. - Tuo Leng; Qingyu Zhao; Chao Yang; Zhufu Lu; Ehsan Adeli 001; Kilian M. Pohl (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Variational AutoEncoder for Regression: Application to Brain Aging Analysis. - Qingyu Zhao; Ehsan Adeli 001; Nicolas Honnorat; Tuo Leng; Kilian M. Pohl (MICCAI (2), 2019)

Confounder-Aware Visualization of ConvNets. - Qingyu Zhao; Ehsan Adeli 001; Adolf Pfefferbaum; Edith V. Sullivan; Kilian M. Pohl (MLMI@MICCAI, 2019)

Action-Agnostic Human Pose Forecasting. - Hsu-Kuang Chiu; Ehsan Adeli 001; Borui Wang; De-An Huang; Juan Carlos Niebles (WACV, 2019)

Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. - Qingyu Zhao; Nicolas Honnorat; Ehsan Adeli 001; Kilian M. Pohl (CoRR, 2019)

Bias-Resilient Neural Network. - Ehsan Adeli 001; Qingyu Zhao; Adolf Pfefferbaum; Edith V. Sullivan; Li Fei-Fei 001; Juan Carlos Niebles; Kilian M. Pohl (CoRR, 2019)

Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data. - Ehsan Adeli 001; Yu Meng 003; Gang Li 001; Weili Lin; Dinggang Shen (NeuroImage, 2019)

Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises. - Ehsan Adeli 001; Kim-Han Thung; Le An; Guorong Wu 001; Feng Shi 001; Tao Wang; Dinggang Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis. - Mingxia Liu 001; Jun Zhang 018; Ehsan Adeli 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2019)

3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation. - Dong Nie; Li Wang 026; Ehsan Adeli 001; Cuijin Lao; Weili Lin; Dinggang Shen (IEEE Trans. Cybern., 2019)

Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning. - Changqing Zhang; Ehsan Adeli 001; Zhengwang Wu; Gang Li 001; Weili Lin; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Adversarial Cross-Domain Action Recognition with Co-Attention. - Boxiao Pan; Zhangjie Cao; Ehsan Adeli 001; Juan Carlos Niebles (AAAI, 2020)

Spatio-Temporal Graph for Video Captioning With Knowledge Distillation. - Boxiao Pan; Haoye Cai; De-An Huang; Kuan-Hui Lee; Adrien Gaidon; Ehsan Adeli 001; Juan Carlos Niebles (CVPR, 2020)

Procedure Planning in Instructional Videos. - Chien-Yi Chang; De-An Huang; Danfei Xu; Ehsan Adeli 001; Li Fei-Fei 001; Juan Carlos Niebles (ECCV (11), 2020)

It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction. - Karttikeya Mangalam; Harshayu Girase; Shreyas Agarwal; Kuan-Hui Lee; Ehsan Adeli 001; Jitendra Malik; Adrien Gaidon (ECCV (2), 2020)

Inpainting Cropped Diffusion MRI Using Deep Generative Models. - Rafi Ayub; Qingyu Zhao; M. J. Meloy; Edith V. Sullivan; Adolf Pfefferbaum; Ehsan Adeli 001; Kilian M. Pohl (PRIME@MICCAI, 2020)

Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis. - Soham Gadgil; Qingyu Zhao; Adolf Pfefferbaum; Edith V. Sullivan; Ehsan Adeli 001; Kilian M. Pohl (MICCAI (7), 2020)

Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity. - Mandy Lu; Kathleen L. Poston; Adolf Pfefferbaum; Edith V. Sullivan; Li Fei-Fei 001; Kilian M. Pohl; Juan Carlos Niebles; Ehsan Adeli 001 (MICCAI (3), 2020)

Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision. - Karttikeya Mangalam; Ehsan Adeli 001; Kuan-Hui Lee; Adrien Gaidon; Juan Carlos Niebles (WACV, 2020)

Spatio-Temporal Graph Convolution for Functional MRI Analysis. - Soham Gadgil; Qingyu Zhao; Ehsan Adeli 001; Adolf Pfefferbaum; Edith V. Sullivan; Kilian M. Pohl (CoRR, 2020)

Recurrent Neural Networks with Longitudinal Pooling and Consistency Regularization. - Jiahong Ouyang; Qingyu Zhao; Edith V. Sullivan; Adolf Pfefferbaum; Susan F. Tapert; Ehsan Adeli 001; Kilian M. Pohl (CoRR, 2020)

TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation. - Kelei He; Chunfeng Lian; Ehsan Adeli 001; Jing Huo; Yinghuan Shi; Yang Gao 001; Bing Zhang 012; Junfeng Zhang; Dinggang Shen (CoRR, 2020)

LSSL: Longitudinal Self-Supervised Learning. - Qingyu Zhao; Zixuan Liu 001; Ehsan Adeli 001; Kilian M. Pohl (CoRR, 2020)

Depth map artefacts reduction: a review. - Mostafa Mahmoud Ibrahim; Qiong Liu 001; Rizwan Khan; Jingyu Yang; Ehsan Adeli 001; You Yang (IET Image Process., 2020)

Mammographic mass segmentation using multichannel and multiscale fully convolutional networks. - Shengzhou Xu; Ehsan Adeli 001; Jie-Zhi Cheng; Lei Xiang; Yang Li 010; Seong-Whan Lee; Dinggang Shen (Int. J. Imaging Syst. Technol., 2020)

Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain. - Ehsan Adeli 001; Qingyu Zhao; Natalie M. Zahr; Aimee Goldstone; Adolf Pfefferbaum; Edith V. Sullivan; Kilian M. Pohl (NeuroImage, 2020)

FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation. - Hancan Zhu; Ehsan Adeli 001; Feng Shi 001; Dinggang Shen (Neuroinformatics, 2020)

Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection. - Ehsan Adeli 001; Xiaorui Li; Dongjin Kwon; Yong Zhang 004; Kilian M. Pohl (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Population-guided large margin classifier for high-dimension low-sample-size problems. - Qingbo Yin; Ehsan Adeli 001; Liran Shen; Dinggang Shen (Pattern Recognit., 2020)

Socially and Contextually Aware Human Motion and Pose Forecasting. - Vida Adeli; Ehsan Adeli 001; Ian Reid 001; Juan Carlos Niebles; Hamid Rezatofighi (IEEE Robotics Autom. Lett., 2020)

Segmenting the Future. - Hsu-Kuang Chiu; Ehsan Adeli 001; Juan Carlos Niebles (IEEE Robotics Autom. Lett., 2020)

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. - Bingbin Liu; Ehsan Adeli 001; Zhangjie Cao; Kuan-Hui Lee; Abhijeet Shenoi; Adrien Gaidon; Juan Carlos Niebles (IEEE Robotics Autom. Lett., 2020)

High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation. - Sihang Zhou 001; Dong Nie; Ehsan Adeli 001; Jianping Yin; Jun Lian; Dinggang Shen (IEEE Trans. Image Process., 2020)

Editorial: Predictive Intelligence in Biomedical and Health Informatics. - Ehsan Adeli-Mosabbeb; S. H. Rekik; Sang Hyun Park 004; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2020)

Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography. - Mohammad Eslami; Solale Tabarestani; Shadi Albarqouni; Ehsan Adeli 001; Nassir Navab; Malek Adjouadi (IEEE Trans. Medical Imaging, 2020)

3D CNNs With Adaptive Temporal Feature Resolutions. - Mohsen Fayyaz; Emad Bahrami Rad; Ali Diba; Mehdi Noroozi; Ehsan Adeli 001; Luc Van Gool; Jürgen Gall (CVPR, 2021)

Metadata Normalization. - Mandy Lu; Qingyu Zhao; Jiequan Zhang; Kilian M. Pohl; Li Fei-Fei 001; Juan Carlos Niebles; Ehsan Adeli 001 (CVPR, 2021)

Scalable Differential Privacy With Sparse Network Finetuning. - Zelun Luo; Daniel J. Wu; Ehsan Adeli 001; Li Fei-Fei 001 (CVPR, 2021)

CoCon: Cooperative-Contrastive Learning. - Nishant Rai; Ehsan Adeli 001; Kuan-Hui Lee; Adrien Gaidon; Juan Carlos Niebles (CVPR Workshops, 2021)

Home Action Genome: Cooperative Compositional Action Understanding. - Nishant Rai; Haofeng Chen; Jingwei Ji; Rishi Desai; Kazuki Kozuka; Shun Ishizaka; Ehsan Adeli 001; Juan Carlos Niebles (CVPR, 2021)

TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild. - Vida Adeli; Mahsa Ehsanpour; Ian D. Reid 001; Juan Carlos Niebles; Silvio Savarese; Ehsan Adeli 001; Hamid Rezatofighi (ICCV, 2021)

Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. - Zixuan Liu 001; Ehsan Adeli 001; Kilian M. Pohl; Qingyu Zhao (IPMI, 2021)

Representation Disentanglement for Multi-modal Brain MRI Analysis. - Jiahong Ouyang; Ehsan Adeli 001; Kilian M. Pohl; Qingyu Zhao; Greg Zaharchuk (IPMI, 2021)

Self-supervised Longitudinal Neighbourhood Embedding. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Edith V. Sullivan; Adolf Pfefferbaum; Greg Zaharchuk; Kilian M. Pohl (MICCAI (2), 2021)

Longitudinal Correlation Analysis for Decoding Multi-modal Brain Development. - Qingyu Zhao; Ehsan Adeli 001; Kilian M. Pohl (MICCAI (7), 2021)

MOMA: Multi-Object Multi-Actor Activity Parsing. - Zelun Luo; Wanze Xie; Siddharth Kapoor; Yiyun Liang; Michael Cooper; Juan Carlos Niebles; Ehsan Adeli 001; Fei-Fei Li 001 (NeurIPS, 2021)

Representation Learning with Statistical Independence to Mitigate Bias. - Ehsan Adeli-Mosabbeb; Qingyu Zhao; Adolf Pfefferbaum; Edith V. Sullivan; Li Fei-Fei 001; Juan Carlos Niebles; Kilian M. Pohl (WACV, 2021)

Generative Adversarial U-Net for Domain-free Medical Image Augmentation. - Xiaocong Chen; Yun Li; Lina Yao 001; Ehsan Adeli 001; Yu Zhang 009 (CoRR, 2021)

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. - Jieneng Chen; Yongyi Lu; Qihang Yu; Xiangde Luo; Ehsan Adeli 001; Yan Wang 033; Le Lu 001; Alan L. Yuille; Yuyin Zhou (CoRR, 2021)

Representation Disentanglement for Multi-modal MR Analysis. - Jiahong Ouyang; Ehsan Adeli 001; Kilian M. Pohl; Qingyu Zhao; Greg Zaharchuk (CoRR, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling. - Kelei He; Chunfeng Lian; Ehsan Adeli 001; Jing Huo; Yang Gao 001; Bing Zhang 012; Junfeng Zhang; Dinggang Shen (Medical Image Anal., 2021)

Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos. - Mandy Lu; Qingyu Zhao; Kathleen L. Poston; Edith V. Sullivan; Adolf Pfefferbaum; Marian Shahid; Maya Katz; Leila Montaser Kouhsari; Kevin A. Schulman; Arnold Milstein; Juan Carlos Niebles; Victor W. Henderson; et al. (Medical Image Anal., 2021)

Longitudinal self-supervised learning. - Qingyu Zhao; Zixuan Liu 001; Ehsan Adeli 001; Kilian M. Pohl (Medical Image Anal., 2021)

Skeleton-based structured early activity prediction. - Mohammad M. Arzani; Mahmood Fathy; Ahmad Akbari Azirani; Ehsan Adeli 001 (Multim. Tools Appl., 2021)

Switching Structured Prediction for Simple and Complex Human Activity Recognition. - Mohammad M. Arzani; Mahmood Fathy; Ahmad Akbari Azirani; Ehsan Adeli 001 (IEEE Trans. Cybern., 2021)

Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation. - Jie Xue 001; Kelei He; Dong Nie; Ehsan Adeli 001; Zhenshan Shi; Seong-Whan Lee; Yuanjie Zheng; Xiyu Liu 001; Dengwang Li; Dinggang Shen (IEEE Trans. Cybern., 2021)

Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs. - Jiahong Ouyang; Qingyu Zhao; Edith V. Sullivan; Adolf Pfefferbaum; Susan F. Tapert; Ehsan Adeli 001; Kilian M. Pohl (IEEE J. Biomed. Health Informatics, 2021)

Deep End-to-End One-Class Classifier. - Mohammad Sabokrou; Mahmood Fathy; Guoying Zhao 001; Ehsan Adeli 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. - Liangqiong Qu; Yuyin Zhou; Paul Pu Liang; Yingda Xia; Feifei Wang; Ehsan Adeli 001; Li Fei-Fei 001; Daniel L. Rubin (CVPR, 2022)

PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens. - Carlos Hinojosa; Miguel Marquez; Henry Arguello; Ehsan Adeli 001; Li Fei-Fei 001; Juan Carlos Niebles (ECCV (4), 2022)

Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding. - Stephen Su; Samuel Kwong; Qingyu Zhao; De-An Huang; Juan Carlos Niebles; Ehsan Adeli 001 (ECCV Workshops (6), 2022)

WTM: Weighted Temporal Attention Module for Group Activity Recognition. - Santosh Kumar Yadav; Palaash Agrawal; Kamlesh Tiwari; Ehsan Adeli 001; Hari Mohan Pandey; Ali Akbar Shaikh (IJCNN, 2022)

Intervertebral Disc Labeling with Learning Shape Information, a Look once Approach. - Reza Azad; Moein Heidari; Julien Cohen-Adad; Ehsan Adeli 001; Dorit Merhof (PRIME@MICCAI, 2022)

TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation. - Reza Azad; Moein Heidari; Moein Shariatnia; Ehsan Khodapanah Aghdam; Sanaz Karimijafarbigloo; Ehsan Adeli 001; Dorit Merhof (PRIME@MICCAI, 2022)

GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. - Mark Endo; Kathleen L. Poston; Edith V. Sullivan; Li Fei-Fei 001; Kilian M. Pohl; Ehsan Adeli-Mosabbeb (MICCAI (8), 2022)

Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome. - Yueting Li; Qingyue Wei; Ehsan Adeli 001; Kilian M. Pohl; Qingyu Zhao (MICCAI (1), 2022)

Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. - Magdalini Paschali; Qingyu Zhao; Ehsan Adeli 001; Kilian M. Pohl (PRIME@MICCAI, 2022)

Multiple Instance Neuroimage Transformer. - Ayush Singla; Qingyu Zhao; Daniel K. Do; Yuyin Zhou; Kilian M. Pohl; Ehsan Adeli 001 (PRIME@MICCAI, 2022)

A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models. - Anthony Vento; Qingyu Zhao; Robert Paul; Kilian M. Pohl; Ehsan Adeli 001 (MICCAI (3), 2022)

MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing. - Zelun Luo; Zane Durante; Linden Li; Wanze Xie; Ruochen Liu; Emily Jin; Zhuoyi Huang; Lun Yu Li; Jiajun Wu 001; Juan Carlos Niebles; Ehsan Adeli 001; Fei-Fei Li 001 (NeurIPS, 2022)

Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning. - Mohammad Eslami; Solale Tabarestani; Ehsan Adeli 001; Glyn Elwyn; Tobias Elze; Mengyu Wang 001; Nazlee Zebardast; Nassir Navab; Malek Adjouadi (CoRR, 2022)

Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces. - Kamran Alipour; Aditya Lahiri; Ehsan Adeli 001; Babak Salimi; Michael J. Pazzani (CoRR, 2022)

Combining Counterfactuals With Shapley Values To Explain Image Models. - Aditya Lahiri; Kamran Alipour; Ehsan Adeli 001; Babak Salimi (CoRR, 2022)

SoMoFormer: Multi-Person Pose Forecasting with Transformers. - Edward Vendrow; Satyajit Kumar; Ehsan Adeli 001; Hamid Rezatofighi (CoRR, 2022)

Self-supervised learning of neighborhood embedding for longitudinal MRI. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Greg Zaharchuk; Kilian M. Pohl (Medical Image Anal., 2022)

Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment. - Jiequan Zhang; Qingyu Zhao; Ehsan Adeli 001; Adolf Pfefferbaum; Edith V. Sullivan; Robert Paul; Victor G. Valcour; Kilian M. Pohl (Medical Image Anal., 2022)

Semantic instance segmentation with discriminative deep supervision for medical images. - Sihang Zhou 001; Dong Nie; Ehsan Adeli 001; Qian Wei; Xuhua Ren; Xinwang Liu 002; En Zhu; Jianping Yin; Qian Wang 001; Dinggang Shen (Medical Image Anal., 2022)

Generative adversarial U-Net for domain-free few-shot medical diagnosis. - Xiaocong Chen; Yun Li; Lina Yao 001; Ehsan Adeli 001; Yu Zhang 009; Xianzhi Wang 001 (Pattern Recognit. Lett., 2022)

Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis. - Yu Zhang 009; Han Zhang 002; Ehsan Adeli 001; Xiaobo Chen 001; Mingxia Liu 001; Dinggang Shen (IEEE Trans. Cybern., 2022)

Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Greg Zaharchuk; Kilian M. Pohl (IEEE Trans. Medical Imaging, 2022)

Rendering Humans from Object-Occluded Monocular Videos. - Tiange Xiang; Adam Sun; Jiajun Wu 001; Ehsan Adeli 001; Li Fei-Fei 001 (ICCV, 2023)

Transformers Pay Attention to Convolutions Leveraging Emerging Properties of ViTs by Dual Attention-Image Network. - Yousef Yeganeh; Azade Farshad; Peter Weinberger; Seyed-Ahmad Ahmadi; Ehsan Adeli 001; Nassir Navab (ICCV (Workshops), 2023)

One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. - Myeongkyun Kang; Philip Chikontwe; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli-Mosabbeb; Kilian M. Pohl; Sanghyun Park 004 (MICCAI (2), 2023)

An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment. - Favour Nerrise; Qingyu Zhao; Kathleen L. Poston; Kilian M. Pohl; Ehsan Adeli 001 (MICCAI (2), 2023)

LSOR: Longitudinally-Consistent Self-Organized Representation Learning. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Wei Peng 009; Greg Zaharchuk; Kilian M. Pohl (MICCAI (1), 2023)

Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model. - Wei Peng 009; Ehsan Adeli 001; Tomas M. Bosschieter; Sanghyun Park 004; Qingyu Zhao; Kilian M. Pohl (MICCAI (8), 2023)

SCOPE: Structural Continuity Preservation for Retinal Vessel Segmentation. - Yousef Yeganeh; Güktug Güvercin; Rui Xiao; Amr Abu-zer; Ehsan Adeli 001; Azade Farshad; Nassir Navab (GRAIL/OCELOT@MICCAI, 2023)

Recurrent Transformer Encoders for Vision-based Estimation of Fatigue and Engagement in Cognitive Training Sessions. - Yanchen Wang; Yunlong Xu 001; Feng Vankee Lin; Ehsan Adeli 001 (CoRR, 2023)

DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation. - Yousef Yeganeh; Azade Farshad; Peter Weinberger; Seyed-Ahmad Ahmadi; Ehsan Adeli 001; Nassir Navab (CoRR, 2023)

SCOPE: Structural Continuity Preservation for Medical Image Segmentation. - Yousef Yeganeh; Azade Farshad; Güktug Güvercin; Amr Abu-zer; Rui Xiao; Yongjian Tang; Ehsan Adeli 001; Nassir Navab (CoRR, 2023)

HomE: Homography-Equivariant Video Representation Learning. - Anirudh Sriram; Adrien Gaidon; Jiajun Wu 001; Juan Carlos Niebles; Li Fei-Fei 001; Ehsan Adeli 001 (CoRR, 2023)

Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs. - Wei Peng 009; Tomas M. Bosschieter; Jiahong Ouyang; Robert Paul; Ehsan Adeli 001; Qingyu Zhao; Kilian M. Pohl (CoRR, 2023)

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Lei Xing 001; et al. (CoRR, 2023)

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. - Soopil Kim; Sion An; Philip Chikontwe; Myeongkyun Kang; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (AAAI, 2024)

Few-Shot Classification of Interactive Activities of Daily Living (InteractADL). - Zane Durante; Robathan Harries; Edward Vendrow; Zelun Luo; Yuta Kyuragi; Kazuki Kozuka; Li Fei-Fei 001; Ehsan Adeli 001 (BMVC, 2024)

Towards Robust 3D Pose Transfer with Adversarial Learning. - Haoyu Chen 001; Hao Tang 005; Ehsan Adeli 001; Guoying Zhao 001 (CVPR, 2024)

H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration. - Morteza Ghahremani; Mohammad Khateri; Bailiang Jian; Benedikt Wiestler; Ehsan Adeli 001; Christian Wachinger (CVPR, 2024)

Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation. - Jensen Hwa; Qingyu Zhao; Aditya Lahiri; Adnan Masood; Babak Salimi; Ehsan Adeli 001 (CVPR Workshops, 2024)

PRISM: Progressive Restoration for Scene Graph-Based Image Manipulation. - Pavel Jahoda; Yousef Yeganeh; Ehsan Adeli 001; Nassir Navab; Azade Farshad (ECCV Workshops (9), 2024)

SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis. - Camila González; Yanis Miraoui; Yiran Fan; Ehsan Adeli-Mosabbeb; Kilian M. Pohl (MLCN@MICCAI, 2024)

SOE: SO(3)-Equivariant 3D MRI Encoding. - Shizhe He; Magdalini Paschali; Jiahong Ouyang; Adnan Masood; Akshay Chaudhari; Ehsan Adeli-Mosabbeb (MLCN@MICCAI, 2024)

Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis. - Sven Lüpke; Yousef Yeganeh; Ehsan Adeli 001; Nassir Navab; Azade Farshad (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

Neurocognitive Latent Space Regularization for Multi-label Diagnosis from MRI. - Jocasta Manasseh-Lewis; Felipe Godoy; Wei Peng 009; Robert Paul; Ehsan Adeli-Mosabbeb; Kilian M. Pohl (PRIME@MICCAI, 2024)

GAMMA-PD: Graph-Based Analysis of Multi-Modal Motor Impairment Assessments in Parkinson's Disease. - Favour Nerrise; Alice Louise Heiman; Ehsan Adeli 001 (GRAIL@MICCAI, 2024)

SOM2LM: Self-Organized Multi-Modal Longitudinal Maps. - Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli 001; Greg Zaharchuk; Kilian M. Pohl (MICCAI (2), 2024)

Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning. - Yixin Wang; Wei Peng 009; Yu Zhang 009; Ehsan Adeli-Mosabbeb; Qingyu Zhao; Kilian M. Pohl (MLCN@MICCAI, 2024)

The 2nd Challenge on Micro-gesture Analysis for Hidden Emotion Understanding (MiGA) 2024: Dataset and Results. - Haoyu Chen 001; Björn W. Schuller; Ehsan Adeli 001; Guoying Zhao 001 (MiGA@IJCAI, 2024)

OccFusion: Rendering Occluded Humans with Generative Diffusion Priors. - Adam Sun; Tiange Xiang; Scott L. Delp; Li Fei-Fei 001; Ehsan Adeli 001 (NeurIPS, 2024)

Vision-based estimation of fatigue and engagement in cognitive training sessions. - Yanchen Wang; Adam Turnbull; Yunlong Xu 001; Kathi L. Heffner; Feng Vankee Lin; Ehsan Adeli 001 (Artif. Intell. Medicine, 2024)

Wild2Avatar: Rendering Humans Behind Occlusions. - Tiange Xiang; Adam Sun; Scott L. Delp; Kazuki Kozuka; Li Fei-Fei 001; Ehsan Adeli 001 (CoRR, 2024)

An Interactive Agent Foundation Model. - Zane Durante; Bidipta Sarkar; Ran Gong; Rohan Taori; Yusuke Noda; Paul Tang; Ehsan Adeli 001; Shrinidhi Kowshika Lakshmikanth; Kevin A. Schulman; Arnold Milstein; Demetri Terzopoulos; Ade Famoti; et al. (CoRR, 2024)

Latent 3D Brain MRI Counterfactual. - Wei Peng 009; Tian Xia; Fabio De Sousa Ribeiro; Tomas M. Bosschieter; Ehsan Adeli-Mosabbeb; Qingyu Zhao; Ben Glocker; Kilian M. Pohl (CoRR, 2024)

Decoding Visual Experience and Mapping Semantics through Whole-Brain Analysis Using fMRI Foundation Models. - Yanchen Wang; Adam Turnbull; Tiange Xiang; Yunlong Xu 001; Sa Zhou; Adnan Masoud; Shekoofeh Azizi; Feng Vankee Lin; Ehsan Adeli 001 (CoRR, 2024)

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Shaoting Zhang 001; et al. (Medical Image Anal., 2024)

Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. - Soopil Kim; Heejung Park; Myeongkyun Kang; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (Medical Image Anal., 2024)

Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs. - Wei Peng 009; Tomas M. Bosschieter; Jiahong Ouyang; Robert Paul; Edith V. Sullivan; Adolf Pfefferbaum; Ehsan Adeli 001; Qingyu Zhao; Kilian M. Pohl (Medical Image Anal., 2024)

Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases. - Mark Endo; Favour Nerrise; Qingyu Zhao; Edith V. Sullivan; Li Fei-Fei 001; Victor W. Henderson; Kilian M. Pohl; Kathleen L. Poston; Ehsan Adeli 001 (Nat. Mac. Intell., 2024)

FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. - Myeongkyun Kang; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (Pattern Recognit., 2024)

Medical Image Segmentation Review: The Success of U-Net. - Reza Azad; Ehsan Khodapanah Aghdam; Amelie Rauland; Yiwei Jia; Atlas Haddadi Avval; Afshin Bozorgpour; Sanaz Karimijafarbigloo; Joseph Paul Cohen; Ehsan Adeli 001; Dorit Merhof (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

NeuHMR: Neural Rendering-Guided Human Motion Reconstruction. - Tiange Xiang; Kuan-Chieh Wang; Jaewoo Heo; Ehsan Adeli 001; Serena Yeung; Scott L. Delp; Li Fei-Fei 001 (3DV, 2025)

The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion. - Changan Chen; Juze Zhang; Shrinidhi K. Lakshmikanth; Yusu Fang; Ruizhi Shao; Gordon Wetzstein; Li Fei-Fei 001; Ehsan Adeli 001 (CVPR, 2025)

An Interactive Agent Foundation Model. - Zane Durante; Ran Gong; Bidipta Sarkar; Naoki Wake; Rohan Taori; Paul Tang; Shrinidhi Kowshika Lakshmikanth; Kevin A. Schulman; Arnold Milstein; Hoi Vo; Ehsan Adeli 001; Demetri Terzopoulos; et al. (CVPR Workshops, 2025)

AdaVid: Adaptive Video-Language Pretraining. - Chaitanya Patel; Juan Carlos Niebles; Ehsan Adeli 001 (CVPR Workshops, 2025)

Re-thinking Temporal Search for Long-Form Video Understanding. - Jinhui Ye; Zihan Wang 008; Haosen Sun; Keshigeyan Chandrasegaran; Zane Durante; Cristóbal Eyzaguirre; Yonatan Bisk; Juan Carlos Niebles; Ehsan Adeli 001; Li Fei-Fei 001; Jiajun Wu 001; Manling Li (CVPR, 2025)

Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis. - Yousef Yeganeh; Azade Farshad; Ioannis Charisiadis; Marta Hasny; Martin Hartenberger; Björn Ommer; Nassir Navab; Ehsan Adeli 001 (CVPR, 2025)

Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation. - Myeongkyun Kang; Philip Chikontwe; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (Medical Image Anal., 2025)

Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound. - Chieh-Ju Chao; Yunqi Richard Gu; Wasan Kumar; Tiange Xiang; Lalith Appari; Justin Wu; Juan Maria Farina; Rachael Wraith; Jiwoong Jason Jeong; Reza Arsanjani; Garvan C. Kane; Jae K. Oh; et al. (npj Digit. Medicine, 2025)

Diffusion Models for Computational Neuroimaging: A Survey. - Haokai Zhao; Haowei Lou; Lina Yao 001; Wei Peng 009; Ehsan Adeli 001; Kilian M. Pohl; Yu Zhang 009 (CoRR, 2025)

Towards Fine-Grained Video Question Answering. - Wei Dai 013; Alan Luo; Zane Durante; Debadutta Dash; Arnold Milstein; Kevin A. Schulman; Ehsan Adeli 001; Fei-Fei Li 001 (CoRR, 2025)

Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation. - Tiange Xiang; Kai Li; Chengjiang Long; Christian Häne; Peihong Guo; Scott L. Delp; Ehsan Adeli 001; Li Fei-Fei 001 (CoRR, 2025)

SocialGen: Modeling Multi-Human Social Interaction with Language Models. - Heng Yu; Juze Zhang; Changan Chen; Tiange Xiang; Yusu Fang; Juan Carlos Niebles; Ehsan Adeli-Mosabbeb (CoRR, 2025)

VideoMultiAgents: A Multi-Agent Framework for Video Question Answering. - Noriyuki Kugo; Xiang Li; Zixin Li; Ashish Gupta; Arpandeep Khatua; Nidhish Jain; Chaitanya Patel; Yuta Kyuragi; Yasunori Ishii; Masamoto Tanabiki; Kazuki Kozuka; Ehsan Adeli 001 (CoRR, 2025)

Anatomical Similarity as a New Metric to Evaluate Brain Generative Models. - Bahram Jafrasteh; Wei Peng 009; Cheng Wan; Yimin Luo; Ehsan Adeli 001; Qingyu Zhao (CoRR, 2025)

Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis. - Soopil Kim; Heejung Park; Philip Chikontwe; Myeongkyun Kang; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sang Hyun Park 004 (IEEE Trans. Medical Imaging, 2025)

Confounder-Free Continual Learning via Recursive Feature Normalization. - Yash Shah; Camila González; Mohammad Hasan Abbasi; Qingyu Zhao; Kilian M. Pohl; Ehsan Adeli 001 (CoRR, 2025)

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation. - Seunghun Lee 002; Jiwan Seo; Minwoo Choi; Kiljoon Han; Jaehoon Jeong; Zane Durante; Ehsan Adeli 001; Sang Hyun Park; Sunghoon Im (CoRR, 2025)

UniEgoMotion: A Unified Model for Egocentric Motion Reconstruction, Forecasting, and Generation. - Chaitanya Patel; Hiroki Nakamura; Yuta Kyuragi; Kazuki Kozuka; Juan Carlos Niebles; Ehsan Adeli 001 (CoRR, 2025)