
I am an Assistant Professor (Clinical Educator Line) 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 |
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GaitForeMer:
Self-Supervised Pre-Training of Transformers via Human
Motion Forecasting for Few-Shot Gait Impairment Severity
Estimation M. Endo, K. Poston, E. Sullivan, L. Fei-Fei, K. Pohl, Ehsan Adeli 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Resort World Convention Centre, Singapore, September 18-22, 2022. |
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A Penalty Approach for
Normalizing Feature Distributions to Build Confounder-Free
Models A. Vento, Q. Zhao, R. Paul, K. Pohl, Ehsan Adeli 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Resort World Convention Centre, Singapore, September 18-22, 2022. |
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Joint Graph Convolution for
Analyzing Brain Structural and Functional Connectome Y. Li, Q. Wei, Ehsan Adeli, K. Pohl, Q. Zhao, 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Resort World Convention Centre, Singapore, September 18-22, 2022. |
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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] |
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WTM: Weighted Temporal
Attention Module for Group Activity Recognition S. Yadav, P. Agrawal, K. Tiwari Ehsan Adeli, H. Padey,S. AliAkbar, International Joint Conference on Neural Networks (IJCNN) at the IEEE World Congress on Computational Intelligence, Pasua, Italy, July 18-23, 2022 |
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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] |
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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] |
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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 |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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Longitudinal
Self-Supervised Learning Q. Zhao*, Z. Liu*, Ehsan Adeli, K. Pohl Medical Image Analysis Volume 71, July 2021, 102051 [Paper] [PDF] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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 |
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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] |
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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] |
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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] |
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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 |
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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, |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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Depth map artifacts
reduction: a review M.M. Ibrahim, Q. Liu, R. Khan, J. Yang, Ehsan Adeli, Y. Yang IET Image Processing 2020. |
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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] |
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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] |
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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] |
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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] |
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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 |
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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. |
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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. |
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Skeleton-based Structured
Early Activity Prediction M. Arzani, M. Fathy, A.A. Azirani, Ehsan Adeli Multimedia Tools and Applications, Springer, 020. |
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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. |
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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] |
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Advancing Neuroscientific
Discovery via Bias-Resilient Neural Networks Kilian M. Pohl, Q. Zhao, Ehsan Adeli 54th Asilomar Conference on Signals, Systems and Computers, 2020. |
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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 |
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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] |
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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] |
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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] |
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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] |
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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 |
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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] |
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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 |
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FCN Based Label Correction
for Multi-Atlas Guided Organ Segmentation H. Zhu, Ehsan Adeli, F. Shi, D. Shen Neuroinformatics, 2019 |
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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 |
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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] |
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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] |
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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 |
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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] |
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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] |
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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. |
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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. |
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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] |
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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 |
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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] |
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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] |
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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] |
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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] |
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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] |
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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 |
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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 |
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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] |
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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] |
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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 |
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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 |
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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] |
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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 |
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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] |
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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 |
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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 |
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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 |
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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 |
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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 |
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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] |
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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] |
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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] |
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Landmark-based Deep
Multi-Instance Learning for Brain Disease Diagnosis M. Liu, J. Zhang, Ehsan Adeli, D. Shen Medical Image Analysis, Elsevier, 2017 |
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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] |
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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 |
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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] |
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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 |
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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] |
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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] |
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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] |
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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 |
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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] |
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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] |
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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] |
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Deep Relative Attributes Y. Souri, E. Noury, Ehsan Adeli Asian Conference on Computer Vision (ACCV) 2016 [PDF] [Code] |
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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] |
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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] |
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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] |
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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] |
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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 |
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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] |
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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] |
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Non-negative matrix
completion for action detection Ehsan Adeli, M. Fathy Image and Vision Computing, Volume 39, July 2015, Pages 38-51 [PDF] |
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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] |
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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] |
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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] |
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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] |
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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 |
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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] |
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Distributed Matrix
Completion for Large-scale Multi-label Classification Ehsan Adeli, M. Fathy Intelligent Data Analysis Journal, 18 (6), 2014 [PDF] |
2013 |
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Multiview Human Activity
Recognition in Distributed Camera Sensor Networks Ehsan Adeli, K. Raahemifar, M. Fathy Sensors Journal, 13(7), 8750-8770, 2013 [PDF] |
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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] |
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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 |
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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 |
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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] |
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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 |
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Prediction of Significant
Wave Height Using Regressive Support Vector Machines J. Mahjoobi, Ehsan Adeli Ocean Engineering 36(5), 339-347, 2009 [PDF] |
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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] |
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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 |
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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] |
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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] |
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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] |
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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] |
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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 |
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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] |
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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] |
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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] |
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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 |
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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 |
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Spring 2021 |
MED18SI AI in Medicine and Healthcare Ventures, Department of Medicine, Stanford University | Webpage | ||
Fall 2021,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 |
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2011 |
Tutorial on OpenCV for Computer Vision and Machine Learning, 8th International Conference on Machine Vision and Image Processing (MVIP) | Slides |
Links
Core Member | Stanford AGILE Consortium (Advancing technoloGy for fraIlty & LongEvity, https://med.stanford.edu/ortho-agile.html) | |
Labs |
Computational Neuroscience Lab (CNS, https://cnslab.stanford.edu/),
Stanford AI Lab (SAIL, https://ai.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/), Stanford Data Science Center for Open and REproducible Science (SDS-CORES, https://datascience.stanford.edu/cores), Stanford Center for Research on Foundation Models (CRFM, https://crfm.stanford.edu/), |
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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) |
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Area Chair / Senior PC (SPC) |
MIDL 2019, MICCAI 2020, MICCAI 2021, MICCAI 2022, BHI 2021, ICLR 2021, AAAI 2021 (SPC), AAAI 2022 (SPC), CVPR 2022 |