Ehsan Adeli-Mosabbeb

Dorit Merhof

CoRR, 2022

SoMoFormer: Multi-Person Pose Forecasting with Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

Combining Counterfactuals With Shapley Values To Explain Image Models.

[BibT_eX]

[DOI]

CoRR, 2022

Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces.

[BibT_eX]

[DOI]

CoRR, 2022

Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2022

MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multiple Instance Neuroimage Transformer.

[BibT_eX]

[DOI]

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing.

[BibT_eX]

[DOI]

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation.

[BibT_eX]

[DOI]

Reza Azad

Moein Heidari

Moein Shariatnia

Ehsan Khodapanah Aghdam

Sanaz Karimijafarbigloo

Dorit Merhof

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Intervertebral Disc Labeling with Learning Shape Information, a Look once Approach.

[BibT_eX]

[DOI]

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

WTM: Weighted Temporal Attention Module for Group Activity Recognition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep End-to-End One-Class Classifier.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Switching Structured Prediction for Simple and Complex Human Activity Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Skeleton-based structured early activity prediction.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2021

Longitudinal self-supervised learning.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos.

[BibT_eX]

[DOI]

Leila Montaser Kouhsari

Medical Image Anal., 2021

MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

On the Opportunities and Risks of Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2021

Representation Disentanglement for Multi-modal MR Analysis.

[BibT_eX]

[DOI]

CoRR, 2021

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Generative Adversarial U-Net for Domain-free Medical Image Augmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Representation Learning with Statistical Independence to Mitigate Bias.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

MOMA: Multi-Object Multi-Actor Activity Parsing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Longitudinal Correlation Analysis for Decoding Multi-modal Brain Development.

[BibT_eX]

[DOI]

Qingyu Zhao

Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Self-supervised Longitudinal Neighbourhood Embedding.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Representation Disentanglement for Multi-modal Brain MRI Analysis.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Home Action Genome: Cooperative Compositional Action Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

CoCon: Cooperative-Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Scalable Differential Privacy With Sparse Network Finetuning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Metadata Normalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3D CNNs With Adaptive Temporal Feature Resolutions.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Editorial: Predictive Intelligence in Biomedical and Health Informatics.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Segmenting the Future.

[BibT_eX]

[DOI]

Hsu-Kuang Chiu

Juan Carlos Niebles

IEEE Robotics Autom. Lett., 2020

Socially and Contextually Aware Human Motion and Pose Forecasting.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Population-guided large margin classifier for high-dimension low-sample-size problems.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation.

[BibT_eX]

[DOI]

Neuroinformatics, 2020

Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain.

[BibT_eX]

[DOI]

NeuroImage, 2020

Mammographic mass segmentation using multichannel and multiscale fully convolutional networks.

[BibT_eX]

[DOI]

Int. J. Imaging Syst. Technol., 2020

Depth map artefacts reduction: a review.

[BibT_eX]

[DOI]

Mostafa Mahmoud Ibrahim

IET Image Process., 2020

LSSL: Longitudinal Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2020

TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Recurrent Neural Networks with Longitudinal Pooling and Consistency Regularization.

[BibT_eX]

[DOI]

CoRR, 2020

Spatio-Temporal Graph Convolution for Functional MRI Analysis.

[BibT_eX]

[DOI]

CoRR, 2020

Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Inpainting Cropped Diffusion MRI Using Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Procedure Planning in Instructional Videos.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Spatio-Temporal Graph for Video Captioning With Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adversarial Cross-Domain Action Recognition with Co-Attention.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2019

Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data.

[BibT_eX]

[DOI]

NeuroImage, 2019

Bias-Resilient Neural Network.

[BibT_eX]

[DOI]

CoRR, 2019

Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis.

[BibT_eX]

[DOI]

CoRR, 2019

Action-Agnostic Human Pose Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Confounder-Aware Visualization of ConvNets.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Variational AutoEncoder for Regression: Application to Brain Aging Analysis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Data Augmentation Based on Substituting Regional MRIs Volume Scores.

[BibT_eX]

[DOI]

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

Covariance Shrinkage for Dynamic Functional Connectivity.

[BibT_eX]

[DOI]

Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019

Generative Adversarial Irregularity Detection in Mammography Images.

[BibT_eX]

[DOI]

Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019

Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

Imitation Learning for Human Pose Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Self-Supervised Representation Learning via Neighborhood-Relational Encoding.

[BibT_eX]

[DOI]

Mohammad Sabokrou

Mohammad Khalooei

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised Feature Ranking and Selection Based on Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Chained regularization for identifying brain patterns specific to HIV infection.

[BibT_eX]

[DOI]

NeuroImage, 2018

Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion.

[BibT_eX]

[DOI]

Medical Image Anal., 2018

Landmark-based deep multi-instance learning for brain disease diagnosis.

[BibT_eX]

[DOI]

Medical Image Anal., 2018

End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN.

[BibT_eX]

[DOI]

Soheil Esmaeilzadeh

Yao Yang

Dimitrios Ioannis Belivanis

CoRR, 2018

Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet.

[BibT_eX]

[DOI]

Seyyed Hossein HasanPour

CoRR, 2018

Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2018

Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification.

[BibT_eX]

[DOI]

Soheil Esmaeilzadeh

Kilian M. Pohl

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Predictive Modeling of Longitudinal Data for Alzheimer's Disease Diagnosis Using RNNs.

[BibT_eX]

[DOI]

Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

Multi-label Transduction for Identifying Disease Comorbidity Patterns.

[BibT_eX]

[DOI]

Dongjin Kwon

Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Adversarially Learned One-Class Classifier for Novelty Detection.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

AVID: Adversarial Visual Irregularity Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.

[BibT_eX]

[DOI]

Medical Image Anal., 2017

Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2016

Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data.

[BibT_eX]

[DOI]

NeuroImage, 2016

Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Deep Relative Attributes.

[BibT_eX]

[DOI]

Yaser Souri

Erfan Noury

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

Non-negative matrix completion for action detection.

[BibT_eX]

[DOI]

Image Vis. Comput., 2015

Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance.

[BibT_eX]

[DOI]

Yue Gao

Panteleimon Giannakopoulos

Minjeong Kim

Sven Haller

Dinggang Shen

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.

[BibT_eX]

[DOI]

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

2014

Distributed matrix completion for large-scale multi-label classification.

[BibT_eX]

[DOI]

Intell. Data Anal., 2014

Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization.

[BibT_eX]

[DOI]

Ricardo Silveira Cabral

Fernando De la Torre

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Multi-View Human Activity Recognition in Distributed Camera Sensor Networks.

[BibT_eX]

[DOI]

Kaamran Raahemifar

Sensors, 2013

Distributed activity recognition in camera networks via low-rank matrix recovery.

[BibT_eX]

[DOI]

Kaamran Raahemifar

Proceedings of the Seventh International Conference on Distributed Smart Cameras, 2013

Multi-view support vector machines for distributed activity recognition.

[BibT_eX]

[DOI]

Kaamran Raahemifar

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.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2010

2009

Clustering Based Non-parametric Model for Shadow Detection in Video Sequences.

[BibT_eX]

Houman Abbasian

Proceedings of the 2009 International Conference on Image Processing, 2009

2008

SHABaN Multi-agent Team To Herd Cows.

[BibT_eX]

[DOI]

Adel Torkaman Rahmani

Proceedings of the Programming Multi-Agent Systems, 2008

3D Reconstruction of Walking Human based on Human Gait Knowledge.

[BibT_eX]

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.

[BibT_eX]

[DOI]

Maryam Sadeghi