Ehsan Adeli-Mosabbeb
Orcid: 0000-0002-0579-7763Affiliations:
- Stanford University, Department of Computer Science and Department of Psychiatry and Behavioral Sciences, Stanford, CA, USA (since 2017)
- University of North Carolina at Chapel Hill, Department of Radiology and Biomedical Research Imaging Center (BRIC), Chapel Hill, NC, USA (2014 - 2017)
- Iran University of Science and Technology, Computer Engineering Department, Tehran, Iran (PhD 2013)
- Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA (2011 - 2012)
According to our database1,
Ehsan Adeli-Mosabbeb
authored at least 151 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
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on stanford.edu
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on orcid.org
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on ri.cmu.edu
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on adeli.ir
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Bibliography
2024
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
CoRR, 2023
Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs.
CoRR, 2023
CoRR, 2023
Recurrent Transformer Encoders for Vision-based Estimation of Fatigue and Engagement in Cognitive Training Sessions.
CoRR, 2023
Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Transformers Pay Attention to Convolutions Leveraging Emerging Properties of ViTs by Dual Attention-Image Network.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI.
IEEE Trans. Medical Imaging, 2022
Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis.
IEEE Trans. Cybern., 2022
Pattern Recognit. Lett., 2022
Semantic instance segmentation with discriminative deep supervision for medical images.
Medical Image Anal., 2022
Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment.
Medical Image Anal., 2022
Medical Image Anal., 2022
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces.
CoRR, 2022
Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022
Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs.
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Cybern., 2021
IEEE Trans. Cybern., 2021
Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos.
Medical Image Anal., 2021
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling.
Medical Image Anal., 2021
CoRR, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography.
IEEE Trans. Medical Imaging, 2020
IEEE J. Biomed. Health Informatics, 2020
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation.
IEEE Trans. Image Process., 2020
IEEE Robotics Autom. Lett., 2020
IEEE Robotics Autom. Lett., 2020
Population-guided large margin classifier for high-dimension low-sample-size problems.
Pattern Recognit., 2020
Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Neuroinformatics, 2020
Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain.
NeuroImage, 2020
Mammographic mass segmentation using multichannel and multiscale fully convolutional networks.
Int. J. Imaging Syst. Technol., 2020
TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation.
CoRR, 2020
CoRR, 2020
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning.
IEEE Trans. Medical Imaging, 2019
3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation.
IEEE Trans. Cybern., 2019
Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis.
IEEE Trans. Biomed. Eng., 2019
Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises.
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data.
NeuroImage, 2019
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis.
CoRR, 2019
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis.
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
NeuroImage, 2018
Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion.
Medical Image Anal., 2018
Medical Image Anal., 2018
CoRR, 2018
Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection.
Comput. Medical Imaging Graph., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Predictive Modeling of Longitudinal Data for Alzheimer's Disease Diagnosis Using RNNs.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the Computer Vision - ACCV 2018, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.
Medical Image Anal., 2017
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017
Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Structured prediction with short/long-range dependencies for human activity recognition from depth skeleton data.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
2016
IEEE Trans. Image Process., 2016
Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis.
IEEE Trans. Biomed. Eng., 2016
Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data.
NeuroImage, 2016
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
2014
Intell. Data Anal., 2014
Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization.
Proceedings of the Computer Vision - ACCV 2014, 2014
2013
Sensors, 2013
Proceedings of the Seventh International Conference on Distributed Smart Cameras, 2013
Proceedings of the Seventh International Conference on Distributed Smart Cameras, 2013
2010
A non-parametric heuristic algorithm for convex and non-convex data clustering based on equipotential surfaces.
Expert Syst. Appl., 2010
2009
Clustering Based Non-parametric Model for Shadow Detection in Video Sequences.
Proceedings of the 2009 International Conference on Image Processing, 2009
2008
Proceedings of the Programming Multi-Agent Systems, 2008
3D Reconstruction of Walking Human based on Human Gait Knowledge.
Proceedings of the 2008 International Conference on Image Processing, 2008
2007
A New Approach for Vehicle Detection in Congested Traffic Scenes Based on Strong Shadow Segmentation.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007