My name is Ehsan Adeli*. I am a researcher and NIH Fellow at Stanford University, working at the intersection of Machine Learning, Computer Vision, Computational Neuroscience, and Medical Image Analysis in the School of Medicine and the Stanford AI Lab (SAIL). Previously, I was a postdoctoral research associate at the University of North Carolina. During my Ph.D. studies, I was also a research scholar at the Robotics Institute, Carnegie Mellon University, Pittsburgh, PA.
*I used to publish under the name 'Ehsan Adeli-Mosabbeb'. Mosabbeb is a suffix on my last name, and I decided to drop it in my publications, for simplicity.
Publications
2019 |
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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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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 |
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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 |
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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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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 |
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] |
Theses |
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Distributed Vision-based Approach for Human Activity Recognition Spervisor: Prof. Mahmood Fathy Ph.D. Thesis, Iran University of Science and Technology, 2013 [PDF] |
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Model-based Human Tracking/Gait Recognition in Monocular Video Sequences Supervisors: Prof. Mahmood Fathy, Prof. Naser Mozayani MSc thesis. [PDF] |
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Biometric Identification using Iris Recognition Supervisor: Prof. Saied Abrishami BS thesis |
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 Taught in the Past |
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2008-2016 | Fundamentals of Multimedia Systems - Undergraduate Course, Iran University of Science and Technology, Computer Engineering Dept., Information Technology E-Learning Dept. | Slides Persian , English | ||
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, in the 8th International Conference on Machine Vision and Image Processing (MVIP), Tehran, Iran | Slides |
News and Updates
10/2018 | We were on the news. | |
09/2018 | I am serving as a guest editor for the IEEE Journal of Biomedical and Health Informatics, "Predictive Intelligence in Biomedical and Health Informatics" Special Issue. | |
06/2018 | Two MICCAI papers accepted. | |
02/2018 | CVPR paper accepted. | |
01/2018 | PAMI paper accepted. | |
09/2017 | I am serving as the Local Chair for the 11th International Conference on Distributed Smart Cameras (ICDSC) 2017, Stanford University, Stanford, CA. | |
06/2017 | 3 papers accepted in MICCAI 2017. | |
03/2017 | I joined Stanford University. | |
10/2016 | Successfully organized and held the Machine Learning in Medical Imaging (MLMI) workshop as a part of the leading medical image analysis conference, MICCAI 2016. | |
06/2016 | 5 papers accepted in MICCAI 2016. | |
05/2016 | NeuroImage paper accepted. | |
04/2016 | IEEE TIP paper accepted. | |
09/2015 |
NIPS paper accepted! | |
2013 |
My main homepage was at http://adeli.ir/ (my blog at http://adeli.ir/blog/ and my code repositories at http://svn.adeli.ir/). But due to some unknown reasons from my host, I do not have access to any of my data. They even did not notify me to get a backup, before they put my stuff down!!! |