Ehsan's Homepage

I am a Clinical Assistant Professor at Stanford University, School of Medicine, Department of Psychiatry and Behavioral Sciences, Computational Neuroscience (CNS) Lab. I also collaborate with the Computer Science Department, Stanford AI Lab (SAIL), Stanford Vision and Learning (SVL) and the Stanford Partnership in AI-Assisted Care (PAC).

Interests: Computer Vision, Neuroscience, Healthcare, and Medical Image Analysis.

Publications

	2022
	Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning L. Qu, Y. Zhou, P.P. Liang, Y. Xia, F. Wang, Ehsan Adeli, L. Fei-Fei, D. Rubin, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, June 19-24 [PDF]
	Disentangling Normal Aging from Severity of Disease via Weak Supervision on Longitudinal MRI J. Ouyang, Q. Zhao, Ehsan Adeli, G. Zaharchuk, K.M. Pohl, IEE Transactions on Medical Imaging [PDF]
	Generative Adversarial U-Net for Domain-free Few-shot Medical Diagnosis X Chen, Y. Li, L. Yao, Ehsan Adeli, Y. Yang Pattern Recognition Letters [Paper] [PDF]
	Multi-Domain Learning Identifies Compounding Effects of HIV and Cognitive Impairment JQ. Zhang, Q. Zhao, Ehsan Adeli, A. Pfefferbaum, E.V. Sullivan, R. Paul, V. Valcour, K.M. Pohl Medical Image Analysis [PDF]
	2021
	Quantifying Parkinson’s Disease Motor Severity Under Uncertainty Using MDS-UPDRS Videos M. Lu, Q. Zhao, K.L. Poston, E.V. Sullivan, A. Pfefferbaum, M. Shahid, M. Katz, L.M. Kouhsari, K. Schulman, A. Milstein, J.C. Niebles, V.W. Henderson, L. Fei-Fei, K.M. Pohl, Ehsan Adeli Medical Image Analysis, Volume 73, October 2021, 102179. [PDF] [Code]
	MOMA: Multi-Object Multi-Actor Activity Parsing Z. Luo, W. Xie, S. Kapoor, Y. Liang, M. Cooper, J.C. Niebles, Ehsan Adeli, L. Fei-Fei Neural Information Processing Systems (NeurIPS 2021), Montreal, Canada, Dec 6-14, 2021 [Project] [PDF]
	On the Opportunities and Risks of Foundation Models R. Bommasani, Drew A. Hudson, Ehsan Adeli, et al., P. Liang Report -- Center for Research on Foundation Models (CRFM), Stanford University, August 2021 [PDF] [Center] [Workshop]
	TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild V. Adeli, M. Ehsanpour, I. Reid, J.C. Niebles, S. Savarese, Ehsan Adeli, H. Rezatofighi IEEE/CVF International Conference on Computer Vision (ICCV 2021), Montreal, Canada, Oct 11-17, 2021. [PDF] [Project] [Benchmark] [ICCV2021 Workshop]
	Metadata Normalization M. Lu, Q. Zhao, J. Zhang, K. Pohl, L. Fei-Fei, J.C. Niebles, Ehsan Adeli IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, Jun 19–25, 2021 [PDF] [Code] [Project]
	Home Action Genome: Cooperative Compositional Action Understanding N. Rai, H. Chen, J. Ji, R. Desai, K. Kozuka, S. Ishizaka, Ehsan Adeli, J.C. Niebles IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, Jun 19–25, 2021 Also presented at MIRU2021 [PDF] [Dataset]
	Scalable Differential Privacy with Sparse Network Fine-tuning A. Luo, D.J. Wu, Ehsan Adeli, L. Fei-Fei IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, Jun 19–25, 2021 [PDF]
	3D CNNs with Adaptive Temporal Feature Resolutions M. Fayyaz, E. Bahrami, A. Diba, M. Noroozi, Ehsan Adeli, L.V. Gool, J. Gall IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, Jun 19–25, 2021 [PDF] [Code] [Project]
	Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development Q. Zhao, Ehsan Adeli, KM. Pohl Medical Image Computing and Computer Assisted Interventions (MICCAI 2021), Strasbourg, France, September 27-October 1, 2021 [PDF]
	Self-Supervised Longitudinal Neighbourhood Embedding J. Ouyang, Q. Zhao, Ehsan Adeli, A. Pfefferbaum, EV. Sullivan, G. Zaharchuk, KM. Pohl Medical Image Computing and Computer Assisted Interventions (MICCAI 2021), Strasbourg, France, September 27-October 1, 2021 [PDF]
	Is Frailty Associated with Adverse Outcomes After Orthopaedic Surgery? A Systematic Review and Assessment of Definitions J.L. Lemos, J.M. Welch, M. Xiao, L. M. Shapiro, Ehsan Adeli, R. N. Kamal The Journal of Bone and Joint Surgery (JBJS) Reviews, 2021 [PubMed]
	TransUNet: Transformers make strong encoders for medical image segmentation J. Chen, Y. Lu, Q. Yu, X. Luo, Ehsan Adeli, Y. Wang, L. Lu, A.L. Yuille, Y. Zhou Interpretable Machine Learning in Healthcare (IMLH), as part of the ICML2021, Virtual, July 23, 2021 [PDF] [Code]
	CoCon: Cooperative-Contrastive Learning N. Rai, Ehsan Adeli, K.-H. Lee, A. Gaidon, J.C. Niebles IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 2021), Holistic Video Understanding (HVU), Nashville, TN, Jun 19–25, 2021 [PDF] [Code]
	Automatic Estimation of MDS-UPDRS Gait Scores from Videos with Multi-Rater Disagreements Ehsan Adeli, EV. Sullivan, M. Lu, Q. Zhao, LM. Kouhsari, M. Katz, A. Pfefferbaum, KM. Pohl, VW. Henderson, KL. Poston Movement Disorder Society (MDS) Congress, September 17-22, 2021 [Web]
	Longitudinal Self-Supervised Learning Q. Zhao, Z. Liu, Ehsan Adeli, K. Pohl Medical Image Analysis Volume 71, July 2021, 102051 [Paper] [PDF]
	Representation Learning with Statistical Independence to Mitigate Bias Ehsan Adeli, Q. Zhao, A. Pfefferbaum, E.V. Sullivan, L. Fei-Fei, J.C. Niebles, K.M. Pohl, (* Co-lead author) IEEE Winter Conference of Applications on Computer Vision (WACV 2021), Waikoloa, Hawaii, Jan 5-9, 2021 [PDF] [Code]
	Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models Z. Liu, Ehsan Adeli, K.M. Pohl, Q. Zhao Information Processing in Medical Imaging (IPMI) 2021, Bornholm, Denmark [PDF] [Code]
	Representation Disentanglement for Multi-modal MR Analysis J. Ouyang, Ehsan Adeli, K. M. Pohl, Q. Zhao, G. Zaharchuk Information Processing in Medical Imaging (IPMI) 2021, Bornholm, Denmark [PDF] [Code]
	MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling K. He, C. Lian, Ehsan Adeli, J. Huo, Y. Gao, B. Zhang, J. Zhang, D. Shen, Medical Image Analysis, Volume 71, July 2021, 102039. [Paper]
	Computer vision-based intelligent anomaly detection using synthetic and simulated data-system and method Ehsan Adeli, J. Zaki, U.S. Patent No. 11,019,087. Washington, DC: U.S. Patent and Trademark Office. [URL]
	Spatiotemporal relationship reasoning for pedestrian intent prediction Ehsan Adeli, K.-H. Lee, A. Gaidon, B. Liu, Z. Cao, J.C. Niebles, U.S. Patent No. 16,596,662. Washington, DC: U.S. Patent and Trademark Office. [URL]
	Disentangling human dynamics for pedestrian locomotion forecasting with noisy supervision K. Mangalam, Ehsan Adeli, K.-H. Lee, A. Gaidon, J.C. Niebles, U.S. Patent No. 16,590,275. Washington, DC: U.S. Patent and Trademark Office. [URL]
	2020
	Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection Ehsan Adeli, X. Li, D. Kwon, Y. Zhang, K.M. Pohl IEEE Transactions on Pattern Analysis And Machine Intelligence (PAMI) [PDF] [Code]
	Training Confounder-Free Deep Learning Models for Medical Applications Q. Zhao, Ehsan Adeli*, K.M. Pohl, (Co-lead Author) Nature Communications [Paper] [Supplement] [Published Version] [Code]
	Longitudinal Pooling & Consistency Regularization to Model Disease Progression from MRIs J. Ouyang, Q. Zhao, E.V. Sullivan, A. Pfefferbaum, S.F. Tapert, Ehsan Adeli, K.M. Pohl, IEEE Journal of Biomedical Health and Informatics [Code]
	Ethical Issues in the Use of Ambient Intelligence in Healthcare Settings N. Martinez-Martin, Z. Luo, A. Kaushal, Ehsan Adeli, A. Haque, S.S. Kelly, S. Wieten, M.K. Cho, D. Magnus, L. Fei-Fei, K. Schulman, A. Milstein, The Lancet Digital Health
	Association of Heavy Drinking With Deviant Fiber Tract Development in Frontal Brain Systems in Young Adolescents Zhao, E.V. Sullivan, N. Honnorat, Ehsan Adeli, S. Podhajsky, M.D. De Bellis, J. Voyvodic, K.B. Nooner, F.C. Baker, I.M. Colrain, S.F. Tapert, S.A. Brown, W.K. Thompson, B.J. Nage, D.B. Clark, A. Pfefferbaum, K.M. Pohl, The Journal of the American Medical Association (JAMA) Psychiatry,
	Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity M. Lu, K. Poston, A. Pfefferbaum, E.V. Sullivan, L. Fei-Fei, K.M. Pohl, J.C. Niebles, Ehsan Adeli 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, October 4-8, 2020. [PDF] [Code][Video]
	Spatio-Temporal Graph Convolution for Functional MRI Analysis S. Gadgil, Q. Zhao, A. Pfefferbaum, E.V. Sullivan, Ehsan Adeli, K.M. Pohl (*Equal Contribution) 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, October 4-8, 2020. [PDF] [Code]
	It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction K. Mangalam, H. Girase, S. Agarwal, K.-H. Lee, Ehsan Adeli, J. Malik, A. Gaidon European Conference on Computer Vision, 2020. [PDF] [Code] [Short Video] [Long Video] [Project Page]
	Procedure Planning in Instructional Videos C.-Y. Chang, D.-A. Huang, D. Xu, Ehsan Adeli, L. Fei-Fei, J.C. Niebles European Conference on Computer Vision, 2020. [PDF]
	Deep Learning Identifies Morphological Determinants of Sex Differences in the Pre-Adolescent Brain Ehsan Adeli, Q. Zhao, N.M. Zahr, A. Goldstone, A. Pfefferbaum, E.V. Sullivan, K.M. Pohl (*Equal Contribution) NeuroImage, 2020. [PDF] [Code: Deep Learning, Statistical Tests]
	Spatio-Temporal Graph for Video Captioning with Knowledge Distillation B. Pan, H. Cai, D.-A. Huang, K.-H. Lee, A. Gaidon, Ehsan Adeli, J.C. Niebles IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA. June 2020. [PDF] [Video]
	Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction B. Liu, Ehsan Adeli, Z. Cao, K.-H. Lee, A. Shenoi, A. Gaidon, J.C. Niebles IEEE Robotics and Automation Letters & IEEE International Conference on Robotics and Automation (ICRA), Paris, France. May 2020. [PDF] [Project] [Dataset] [Video] [Bibtex]
	Socially and Contextually Aware Human Motion and Pose Forecasting V. Adeli, Ehsan Adeli, I. Reid, J.C. Niebles, H. Rezatofighi IEEE Robotics and Automation Letters (RA-L) and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020 [PDF] [Video]
	Segmenting the Future H.-k. Chiu, Ehsan Adeli, J.C. Niebles IEEE Robotics and Automation Letters (RA-L) and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020 [PDF] [Code]
	Depth map artifacts reduction: a review M.M. Ibrahim, Q. Liu, R. Khan, J. Yang, Ehsan Adeli, Y. Yang IET Image Processing 2020.
	Adolescent Alcohol Use Disrupts Functional Neurodevelopment in Sensation Seeking Girls Q. Zhao, E.V. Sullivan, E. Műller-Oehring, N, Honnorat, Ehsan Adeli, S. Podhajsky, F.C. Baker, I.M. Colrain, D. Prouty, S.F. Tapert, S.A. Brown, M.J. Meloy, T. Brumback, B.J. Nagel, A.M. Morales, D.B. Clark, B. Luna, M.D. De Bellis, J.T. Voyvodic, A. Pfefferbaum, K.M. Pohl, Addiction Biology, 2020 May 19;e12914. doi: 10.1111/adb.12914 [PubMed]
	Adversarial Cross-Domain Action Recognition with Co-Attention (Oral Presentation) B. Pan, Z. Cao, Ehsan Adeli, J.C. Niebles, Association for the Advancement of Artificial Intelligence (AAAI), New York Midtown, New York, New York, USA, February 7-12, 2020. [PDF] [Slides] [Poster]
	Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography M. Eslami, S. Tabarestani, S. Albarqouni, Ehsan Adeli, N. Navab, M. Adjouadi IEEE Transactions on Medical Imaging, 2020. [PDF]
	Population-guided large margin classifier for high-dimension low-sample-size problems Q. Yin, Ehsan Adeli, L. Shen, D. Shen Pattern Recognition, Volume 97, January 2020, 107030 [PDF]
	Multi-view Feature Learning with Multi-atlas based Functional Connectivity Networks for MCI Diagnosis Y. Zhang, H. Zhang, Ehsan Adeli, X. Chen, M. Liu, D. Shen IEEE Transactions on Cybernetics, 2020
	Switching Structured Prediction for Simple and Complex Human Activity Recognition M. Arzani, M. Fathy, A.A. Azirani, Ehsan Adeli IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2019.2960481, 2020.
	Deep End-to-End One Class Classifier M. Sabokrou, M. Fathy, G. Zhao, Ehsan Adeli IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2020.2979049, 2020.
	Skeleton-based Structured Early Activity Prediction M. Arzani, M. Fathy, A.A. Azirani, Ehsan Adeli Multimedia Tools and Applications, Springer, 020.
	Mammographic mass segmentation using multichannel and multiscale fully convolutional networks S. Xu, Ehsan Adeli J.-Z. Cheng, L. Xiang, Y. Li, S.-W. Lee, D. Shen International Journal of Imaging Systems and Technology, Wiley, 2020.
	Inpainting Cropped Diffusion MRI using Deep Generative Models R. Ayub, Q. Zhao, M.J. Meloy, E.V. Sullivan, A. Pfefferbaum, Ehsan Adeli, K.M. Pohl MICCAI PRedictive Intelligence in MEdicine (MICCAI-PRIME), Shenzhen, China, October 13, 2020. [Code]
	Advancing Neuroscientific Discovery via Bias-Resilient Neural Networks Kilian M. Pohl, Q. Zhao, Ehsan Adeli 54th Asilomar Conference on Signals, Systems and Computers, 2020.
	Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision K. Mangalam, Ehsan Adeli, K.H. Lee, A. Gaidon, J.C. Niebles, Winter Conference on Applications of Computer Vision (WACV), Snowmass village, Colorado, March 2-5, 2020. [PDF] [Project] [Video]
	2019
	Self-Supervised Representation Learning via Neighborhood-Relational Encoding M. Sabokrou, M. Khalooei, Ehsan Adeli International Conference on Computer Vision (ICCV), Seoul, Korea, Oct 27-Nov 2, 2019 [PDF]
	Imitation Learning for Human Pose Prediction B. Wang, Ehsan Adeli, H.-K. Chiu, D.-A. Huang, J.C. Niebles International Conference on Computer Vision (ICCV), Seoul, Korea, Oct 27-Nov 2, 2019 [PDF] [Poster]
	Variational AutoEncoder For Regression: Application to Brain Aging Analysis Q. Zhao, Ehsan Adeli, N. Honnorat, T. Leng, K.M. Pohl Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, Oct 13-17, 2019 [PDF] [Code]
	Novel Machine Learning Identifies Brain Patterns Distinguishing Diagnostic Membership of Human Immunodeficiency Virus, Alcoholism, and Their Comorbidity of Individuals Ehsan Adeli, N.M. Zahr, A. Pfefferbaum, E.V. Sullivan, K.M. Pohl Biological Psychiatry: CNNI [PDF] [Commentary Paper on Our Work by Christine Fennema-Notestine from UCSD]
	High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation S. Zhou, D. Nie, Ehsan Adeli, J. Yin, J. Lian, D. Shen IEEE Transactions on Image Processing
	Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis Q. Zhao, N. Honnorat, Ehsan Adeli, A. Pfefferbaum, E.V. Sullivan, K.M. Pohl Information Processing in Medical Imaging (IPMI), June 2-7, 2019, The Hong Kong University of Science and Technology [PDF] [Code]
	Cascaded Multi-Task 3D Fully Convolutional Networks for Pancreas Segmentation J. Xue, K. He, D. Nie, Ehsan Adeli, Z. Shi, S.-W. Lee, Y. Zheng, X. Liu, D. Li, D. Shen IEEE Transactions on Cybernetics, 2019
	FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation H. Zhu, Ehsan Adeli, F. Shi, D. Shen Neuroinformatics, 2019
	Unsupervised Feature Ranking and Selection Based on AutoEncoders S. Sharifipour, H. Fayyazi, M. Sabokrou, Ehsan Adeli IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, 12-17 May, Brighton, UK
	Action-Agnostic Human Pose Forecasting H.-S. Kuang, Ehsan Adeli, B. Wang, D.-A. Huang, Juan Carlos Niebles IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, Waikoloa, Hawaii, January 7-11 [PDF] [Code] [Video] [Poster]
	Difficulty Aware Deep Networks with Confidence Learning for Medical Image Segmentation D. Nie, L. Wang, L. Xiang, S. Zhou, Ehsan Adeli, D. Shen AAAI 2019, Honolulu, Hawaii, January 27 – February 1 [Code]
	Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages D. Nie, J. Lu, H. Zhang, Ehsan Adeli, J. Wang, Z. Yu, L.Y. Liu, Q. Wang, J. Wu, D. Shen Nature Scientific Reports, 2019
	Confounder-Aware Visualization of ConvNets Q. Zhao, Ehsan Adeli, A. Pfefferbaum, E.V. Sullivan, K.M. Pohl, MICCAI-Machine Learning in Medical Imaging (MICCAI-MLMI), Shenzhen, China, October 13, 2019. [PDF] [Code]
	Generative Adversarial Irregularity Detection in Mammography Images M. Ahmadi, M. Sabokrou, M. Fathy, R. Berangi, Ehsan Adeli MICCAI PRedictive Intelligence in MEdicine (MICCAI-PRIME), Shenzhen, China, October 13, 2019. [Code]
	Data Augmentation based on Substituting Regional MRI Volume Scores T. Leng, Q. Zhao, C. Zhang, Z. Lu, Ehsan Adeli, K.M. Pohl MICCAI-Large Scale Annotation of Biomedical data and Expert Label Synthesis (MICCAI-LABELS), Shenzhen, China, October 13, 2019.
	Covariance Shrinkage for Dynamic Functional Connectivity N. Honnorat, Ehsan Adeli, Q. Zhao, A. Pfefferbaum, E. Sullivan, K. M. Pohl, MICCAI Connectomics in NeuroImaging (MICCAI-CNI), Shenzhen, China, October 13, 2019.
	PRedictive Intelligence in MEdicine (PRIME) I. Rekik, Ehsan Adeli, S.H. Park (Eds.) Lecture Notes in Computer Science 11843, © Springer Nature Switzerland AG, Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings [Download]
	Adolescent Brain Cognitive Development Neurocognitive Prediction (ABCD-NP) K.M. Pohl, W.K. Thompson, Ehsan Adeli, M.G. Linguraru (Eds.) Lecture Notes in Computer Science 11791, © Springer Nature Switzerland AG 2019, First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings [Download]
	2018
	Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises Ehsan Adeli, K.-H. Thung, L. An, G. Wu, F. Shi, T. Wang, and D. Shen IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2018 [PDF]
	Chained Regularization for Identifying Brain Patterns Specific to HIV Infection Ehsan Adeli, D. Kwon, Q. Zhao, A. Pfefferbauma, N. M. Zahr, E. V. Sullivan, K. M. Pohl NeuroImage, 2018 [PDF]
	Multi-Label Transduction for Identifying Disease Comorbidity Patterns (Oral Presentation) Ehsan Adeli, D. Kwon, K. M. Pohl Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018, Granada, Spain [PDF]
	Adversarially Learned One-Class Classifier for Novelty Detection M. Sabokrou, M. Khalooie, M. Fathy, Ehsan Adeli Computer Vision and Pattern Recognition (CVPR), 2018, Salt Lake City, UT, USA [PDF] [Code] [Presentation] [Poster]
	PRedictive Intelligence in MEdicine (PRIME) I. Rekik, G. Unal, Ehsan Adeli, S.H. Park (Eds.) Lecture Notes in Computer Science 11121, © Springer Nature Switzerland AG 2018, First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings [Download]
	Infant Brain Development Prediction with Latent Partial Multi-View Representation Learning C. Zhang, Ehsan Adeli, Z. Wu, G. Li, W. Lin, D. Shen IEEE Transactions on Medical Imaging (TMI) 2018
	Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks S. Zhou, D. Nie, Ehsan Adeli, Y. Gao, L. Wang, J. Yin, D. Shen Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018, Granada, Spain
	AVID: Adversarial Visual Irregularity Detection M. Sabokrou, M. Pourreza, M. Fayyaz, R. Entezari, M. Fathy, J. Gall, Ehsan Adeli Asian Conference on Computer Vision (ACCV), 2018, Perth, Australia, Dec 2-6 [PDF]
	End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification (Oral Presentation) S. Esmaeilzadeh, D. I. Belivanis, K. M. Pohl, Ehsan Adeli Machine Learning in Medical Imaging (MLMI), MICCAI, 2018, Granada, Spain [PDF] [News]
	Predictive Modeling of Longitudinal Data for Alzheimer’s Disease Diagnosis Using RNNs M. Aghili, S. Tabarestani, M. Adjouadi, Ehsan Adeli PRedictive Intelligence in MEdicine (PRIME), MICCAI, 2018, Granada, Spain
	Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis M. Liu, J. Zhang, Ehsan Adeli, D. Shen IEEE Transactions on Biomedical Engineering, 2018
	Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet S.H. Hasanpour, M. Rouhani, M. Fayyaz, M. Sabokrou, Ehsan Adeli arXiv preprint, arXiv:1802.06205, 2018 [PDF] [Code]
	Multi-Task Prediction of Infant Cognitive Scores from Longitudinal Incomplete Neuroimaging Data Ehsan Adeli, Y. Meng, G. Li, W. Lin, and D. Shen NeuroImage, 2018
	3D Fully Convolutional Networks For Multi-Modal Isointense Infant Brain Image Segmentation D. Nie, L. Wang, Ehsan Adeli, C. Lao, W. Lin, and D. Shen IEEE Transactions on Cybernetics (CYB), 2018 [Code]
	Conversion and Time-to-Conversion Predictions of Mild Cognitive Impairment using Low-Rank Affinity Pursuit Denoising and Matrix Completion K.-H. Thung, Ehsan Adeli, P.-T. Yap, and D. Shen Medical Image Analysis, Elsevier, 2018
	Anatomy-guided Joint Tissue Segmentation and Topological Correction for 6-month Infant Brain MRI with Risk of Autism L. Wang, G. Li, Ehsan Adeli, M. Liu, Z. Wu, and D. Shen Human Brain Mapping, 2018
	Exploring Diagnosis and Imaging Biomarkers of Parkinson's Disease via Iterative Canonical Correlation Analysis Based Feature Selection L. Liu, Q. Wang, Ehsan Adeli, L. Zhang, H. Zhang, and D. Shen Computerized Medical Imaging and Graphics, 2018
	Infant Brain Development Prediction with Latent Partial Multi-View Representation Learning (Oral Presentation) C. Zhang, Ehsan Adeli, Z. Wang, G. Li, W. Lin, and D. Shen IEEE International Symposium on Biomedical Imaging (ISBI'18), Washington DC, April 4-7, 2018
	Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis C. Zhang, Ehsan Adeli, T. Zhou, X. Chen, and D. Shen AAAI 2018, New Orleans, LA, USA, February 2–7, 2018 [PDF]
	2017
	Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data Ehsan Adeli, Y. Meng, G. Li, W. Lin, D. Shen MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017 [PDF]
	Deep Multi-Task Multi-Channel Learning for Joint Classification and Regression of Brain Status M. Liu, J. Zhang, Ehsan Adeli, D. Shen MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017 [PDF]
	Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data X. Zhu, K.-H. Thung, Ehsan Adeli, Y. Zhang, D. Shen MICCAI 2017, Quebec, Canada, Sep. 10-14, 2017 [PDF]
	Landmark-based Deep Multi-Instance Learning for Brain Disease Diagnosis M. Liu, J. Zhang, Ehsan Adeli, D. Shen Medical Image Analysis, Elsevier, 2017
	Structured Prediction with Short/Long-Range Dependencies for Human Activity Recognition from Depth Skeleton Data (Oral Presentation) M.M. Arzani, M. Fathy, H. Aghajan, K. Raahemifar, Ehsan Adeli IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017, Vancouver, Canada [PDF]
	Consciousness Level and Recovery Outcome Prediction using High-Order Brain Functional Connectivity Network X. Jia, H. Zhang, Ehsan Adeli, D. Shen CNI 2017 (MICCAI Workshop), Quebec, Canada, Sep. 14, 2017
	Kernel-based Joint Feature Selection and Max-Margin Classification for Early Diagnosis of Parkinson's Disease Ehsan Adeli, G. Wu, B. Saghafi, L. An, F. Shi, D. Shen Nature, Scietific Reports 2017 [PDF] [ePDF] [Code]
	Multi-Modal Classification of Neurodegenerative Disease by Progressive Graph-Based Transductive Learning Z. Wang, X. Zhu, Ehsan Adeli, Y. Zhu, F. Nie, D. Shen, G. Wu Medical Image Analysis, Elsevier, 2017
	Brain Fingerprinting for Assessment of Infant Brain Development Ehsan Adeli, Y. Meng, G. Li, W. Lin, D. Shen OHBM Annual Meeting, Vancouver, Canada, June 25 - 29, 2017 [PDF]
	Which one is a better marker for the Diagnosis of Parkinson’s Disease: T1 MRI or DTI Ehsan Adeli, G. Wu, M.-J. Kim, D. Shen ISMRM, Honolulu, HI, USA, April 22-27, 2017 [PDF]
	Multi-modal Isointense Infant Brain Image Segmentation with Deep Learning based Methods D. Nie, L. Wang, R. Trullo, Ehsan Adeli, W. Lin, D. Shen ISMRM, Honolulu, HI, USA, April 22-27, 2017 [PDF]
	A Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer’s Disease Diagnosis L. An, Ehsan Adeli, M. Liu, J. Zhang, W.-W. Lee, D. Shen Nature, Scietific Reports 2017 [ePDF]
	2016
	Machine Learning in Medical Imaging L. Wang, Ehsan Adeli, Q. Wang, Y. Shi, H.-I. Suk (Eds.) Lecture Notes in Computer Science 10019, © Springer International Publishing AG 2016, 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings [Download]
	Joint Feature-Sample Selection and Robust Diagnosis of Parkinson's Disease from MRI data Ehsan Adeli, F. Shi, L. An, C.-Y. Wee, G. Wu, T. Wang, D. Shen NeuroImage, 2016 [PDF] [Code]
	Multi-level Canonical Correlation Analysis for Standard-dose PET Image Estimation L. An, P. Zhang, Ehsan Adeli, Y. Wang, G. Ma, F. Shi, D. Lalush, W. Lin, D. Shen IEEE Transactions on Image Processing (TIP), 2016 [PDF]
	Deep Relative Attributes Y. Souri, E. Noury, Ehsan Adeli Asian Conference on Computer Vision (ACCV) 2016 [PDF] [Code]
	Stability-Weighted Matrix Completion of Incomplete Multi-Modal Data for Disease Diagnosis K.-H. Thung, Ehsan Adeli, P. Yap, D. Shen MICCAI 2016, Athens, Greece, Oct. 17–21 [PDF]
	3D Deep Learning for Multi-modal Imaging-guided Survival Time Prediction of Brain Tumor Patients (Oral Presentation) D. Nie, H. Zhang, Ehsan Adeli, L. Liu, D. Shen MICCAI 2016, Athens, Greece, Oct. 17–21 [PDF]
	Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis L. An, Ehsan Adeli, M. Liu, J. Zhang, D. Shen MICCAI 2016, Athens, Greece, Oct. 17–21 [PDF]
	Progressive Graph-Based Transductive Learning for Multi-Modal Classification of Alzheimer’s Disease Z. Wang, X. Zhu, Ehsan Adeli, Y. Zhu, C. Zu, F. Nie, D. Shen, G. Wu MICCAI 2016, Athens, Greece, Oct. 17–21 [PDF]
	Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson’s Disease L. Liu, Q. Wang, Ehsan Adeli, L. Zhang, H. Zhang, D. Shen MICCAI 2016, Athens, Greece, Oct. 17–21 [PDF]
	2015
	Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis Ehsan Adeli, K.-H. Thung, L. An, F. Shi, D. Shen Neural Information Processing Systems (NIPS) 2015, Montréal, Canada, Dec. 7-12, 2015 [PDF]
	Inherent Structure Based Multi-view Learning with Multi-template Feature Representation for Alzheimer’s Disease Diagnosis M. Liu, D. Zhang, Ehsan Adeli, D. Shen IEEE Transactions on Biomedical Engineering [PDF]
	Non-negative matrix completion for action detection Ehsan Adeli, M. Fathy Image and Vision Computing, Volume 39, July 2015, Pages 38-51 [PDF]
	Medical Image Retrieval using Multi-Graph Learning for MCI Diagnostic Assistance Y. Gao, Ehsan Adeli, M. Kim, P. Giannakopoulos, S. Haller, D. Shen MICCAI 2015, Munich, Germany, Oct. 5–9, 2015. [PDF]
	Joint Feature Sample Selection and Robust Classification for Parkinson's Disease Diagnosis Ehsan Adeli, C-Y. Wee, L. An, F. Shi, D. Shen MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2015), Munich, Germany, Oct. 9, 2015 [PDF]
	Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion K.-H. Thung, Ehsan Adeli, P.-T. Yap, D. Shen MICCAI 2015, Munich, Germany, Oct. 5–9, 2015 [PDF]
	A Multi-level Canonical Correlation Analysis Scheme for Standard-dose PET Image Estimation L. An, P. Zhang, Ehsan Adeli, Y. Wang, F. Shi, D. Shen MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI), Munich, Germany, Oct. 9, 2015 [PDF]
	Relationship Induced Multi-atlas Learning for Alzheimer’s Disease Diagnosis M. Liu, D. Zhang, Ehsan Adeli, D. Shen MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bicMCV 2015), Munich, Germany, Oct. 9, 2015 [PDF]
	2014
	A Multi-Label Weakly-supervised Approach for Discriminative Human Activity Recognition and Localization Ehsan Adeli, R. Cabral, F. De la Torre, M. Fathy Asian Conf. on Computer Vision (ACCV), Singapore, Singapore, November 1-5, 2014 [PDF]
	Distributed Matrix Completion for Large-scale Multi-label Classification Ehsan Adeli, M. Fathy Intelligent Data Analysis Journal, 18 (6), 2014 [PDF]
	2013
	Multiview Human Activity Recognition in Distributed Camera Sensor Networks Ehsan Adeli, K. Raahemifar, M. Fathy Sensors Journal, 13(7), 8750-8770, 2013 [PDF]
	Distributed Activity Recognition in Camera Networks via Distributed Low-Rank Matrix Recovery Ehsan Adeli, K. Raahemifar, M. Fathy ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, USA, Oct 29-Nov 1, 2013 [PDF]
	Distributed Activity Recognition using Multi-view Consensus SVM Ehsan Adeli, K. Raahemifar, M. Fathy ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, USA, Oct 29-Nov 1, 2013 [PDF]
	2011
	Model-based Human Gait Tracking, 3D Reconstruction and Recognition in Uncalibrated Monocular Video Ehsan Adeli, M. Fathy, F. Zargari Imaging Science Journal, 59(5), 2011 [PDF]
	2010
	A Non-parametric Heuristic Algorithm for Convex and Non-Convex Data Clustering Based on Equipotential Surfaces F. Bayat, Ehsan Adeli, F. Bayat, A. Jalali Expert Systems with Applications, 37(4), 3318-3325, 2010 [PDF]
	Source parameters estimation of 2003 Bam earthquake Mw 6.5 using empirical Green’s function method, based on an evolutionary approach A. Nicknam, R. Abbasnia, Y. Eslamian, M. Bozorgnasab, Ehsan Adeli Journal of Earth System Science 119(3), 2010 [PDF]
	2009
	Prediction of Significant Wave Height Using Regressive Support Vector Machines J. Mahjoobi, Ehsan Adeli Ocean Engineering 36(5), 339-347, 2009 [PDF]
	Clustering Based Non-parametric Model for Shadow Detection in Video Sequences Ehsan Adeli, H. Abbasian, M. Fathy Image Processing, Computer Vision and Pattern Recognition, Lake Tahoe, Nevada, USA, 2009. [PDF]
	Real-time Vehicle Detection Using a Fast Symmetry Detection Algorithm N. Kouchmeshky, Ehsan Adeli, M. Fathy 14th National Computer Society of Iran Computer Conference (CSICC), Amirkabir University of Technology, Tehran, Iran, 2009 [PDF]
	2008
	A Novel Approach for Branch Buffer Consuming Power Reduction B. Zamani, Ehsan Adeli, M. Soryani IEEE Computer Society International Conference on Computer and Electrical Engineering, Taiwan, 2008 [PDF]
	Compressed Domain Video Optical Flow Optimization Using Texture Analysis and Homography S. M. Shariat-zadeh, Ehsan Adeli, M. Fathy 5th Iranian Conference on Machine Vision and Image Processing (MVIP), Tabriz, Iran, 2008 (Farsi). [PDF]
	3D Reconstruction of Walking Human based on Human Gait Knowledge Ehsan Adeli, M. Fathy Conference on Image Processing, Computer Vision and Pattern Recognition, July 17-20, Nevada, USA, 2008 [PDF]
	Kinematics Model-based Human Tracking in Monocular Video Sequences Ehsan Adeli, M. Fathy National Computer Society Iran Computer Conf. (CSICC08), Sharif University of Technology, Persian Gulf, Kish Island, Iran 2008, (Farsi) [PDF]
	SHABaN Multi-Agent Team To Herd Cows A. T. Rahmani, A. Saberi, M. Mohammadi, A. Nikanjam, Ehsan Adeli, M. Abdoos In the Lecture Notes in Computer Science, Second Multi-Agent Programming Contest in association with Programming Multi-Agent Systems Conference, May 12-13, Estoril, Portugal 2008 [PDF]
	2007
	A Low-cost Strong Shadow-based Segmentation Approach for Vehicle Tracking in Congested Traffic Scenes Ehsan Adeli, M. Sadeghi, M. Fathy International Conference on Machine Vision, IEEE, Islamabad, Pakistan 2007 [PDF]
	A Genetic Algorithm Based Model for Feature Selection and SVM Kernel Parameters Optimization Ehsan Adeli, M. Fathy First Joint Congress on Intelligent and Fuzzy Systems, Ferdowsi University of Mashhad, Iran 2007 (Farsi). [PDF]
	Ensemble of Evolved Neural Networks with Augmenting Topology and Feature Selection B. H. Helmi, Ehsan Adeli, M. Fathy $15^{th}$ Iranian Conf. on Electrical Eng., Iran Telecommunication Research Center, 152-157, Tehran, Iran 2007 (Farsi). [PDF]
	A New Approach for Vehicle Detection in Congested Traffic Scenes Based on Strong Shadow Segmentation Ehsan Adeli, M. Sadeghi, M. Fathy 3rd International Symposium on Visual Computing (ISVC), Part II, LNCS 4842, 427-436, Lake Tahoe, Nevada-California, November 26-28, 2007 [PDF]
	Course Content
	Design and development of the course material for the Multimedia Systems course, in the form of audio-visual Sharable Content Objects (SCOs) Iran University of Science and Technology, E-learning Department

Courses and Tutorials

	Courses
Sprint 2021	MED18SI AI in Medicine and Healthcare Ventures, Department of Medicine, Stanford University	Webpage
Fall 2019	CS337/MED277 AI-Assisted Healthcare, Department of Computer Science and Medicine, Stanford University	Webpage
2008-2016	Fundamentals of Multimedia Systems, Computer Engineering & E-Learning, Iran University of Science and Technology	Slides Fa , En
2014	Digital Image Processing - Graduate Course, Iran University of Science and Technology, Computer Engineering Dept.	Slides
2013	Machine Learning - Graduate Course, Iran University of Science and Technology, Computer Engineering Dept.	Slides
2014	Parallel Programming - Graduate Course	Slides
2009-2014	Computer Graphics - Undergraduate Course, Iran University of Science and Technology, Information Technology E-Learning Dept.	Slides
2009-2011	Fundamentals of Artificial Intelligence - Undergraduate Course	Slides
2009-2011	Data Structures and Fundamentals of Algorithms - Undergraduate Course	Slides
	Tutorials
2011	Tutorial on OpenCV for Computer Vision and Machine Learning, 8th International Conference on Machine Vision and Image Processing (MVIP)	Slides

Links

Labs		Stanford AI Lab (SAIL, https://ai.stanford.edu/), Computational Neuroscience Lab (CNS, https://cnslab.stanford.edu/), Stanford Partnership in AI-Assisted Care (PAC, https://aicare.stanford.edu/), Stanford Trustworthy AI (STAI, https://stai.stanford.edu/), SAIL-Toyota Center For AI Research (https://aicenter.stanford.edu/), Cognitive Aging Lab (https://cogtlab.com/),
Faculty Affiliate		Stanford Institute for Human-Centered AI (HAI, https://hai.stanford.edu/), Stanford Center for AI in Medical Imaging (AIMI, https://aimi.stanford.edu/), Stanford Wu Tsai Neurosciences Institute (https://neuroscience.stanford.edu/), Wu Tsai Human Performance Alliance at Stanford (https://humanperformance.stanford.edu/),
Senior Member		Institute of Electrical and Electronics Engineers (IEEE)
Associate Editor		IEEE Journal of Biomedical Health and Informatics (2019-Now) Journal of Ambient Intelligence and Smart Environments (2018-Now)
Area Chair / Senior PC (SPC)		MIDL 2019, MICCAI 2020, MICCAI 2021, BHI 2021, ICLR 2021, AAAI 2021 (SPC), AAAI 2022 (SPC), CVPR 2022

Contact

email: eadeli [AT] stanford [DOT] edu

Ehsan Adeli

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2011

2010

2009

2008

2007

Course Content

Courses

Sprint 2021

Fall 2019

2008-2016

2014

2013

2014

2009-2014

2009-2011

2009-2011

Tutorials

2011

Labs

Faculty Affiliate

Senior Member

Associate Editor

Area Chair / Senior PC (SPC)