List of works - Ehsan Adeli

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

scientific article published on 08 February 2018

3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients

scholarly article by Dong Nie et al published October 2016 in Lecture Notes in Computer Science

Anatomy-guided joint tissue segmentation and topological correction for 6-month infant brain MRI with risk of autism.

scientific article published on 8 March 2018

Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation

scientific article published on 18 December 2019

Chained regularization for identifying brain patterns specific to HIV infection

article

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

scientific article published on 31 January 2018

Deep Multi-Task Multi-Channel Learning for Joint Classification and Regression of Brain Status

scientific article published on 04 September 2017

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

scientific article published on 4 April 2018

Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease

scientific article published on 02 October 2016

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

scientific article published on 19 June 2019

Infant Brain Development Prediction with Latent Partial Multi-View Representation Learning

article

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

scientific article published on 12 September 2018

Joint Sparse and Low-Rank Regularized MultiTask Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data

scientific article published on 04 September 2017

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

scientific article published on 27 October 2017

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

scientific article published on 04 September 2017

Metadata Normalization

scientific article published on 01 June 2021

Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages

scientific article published in Scientific Reports

Multi-level Canonical Correlation Analysis for Standard-dose PET Image Estimation.

scientific article

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

scientific article published on 13 May 2017

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

scientific article published on 27 April 2018

Novel Machine Learning Identifies Brain Patterns Distinguishing Diagnostic Membership of Human Immunodeficiency Virus, Alcoholism, and Their Comorbidity of Individuals

scientific article published on 01 March 2019

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

scientific article published on 02 October 2016

Representation Learning with Statistical Independence to Mitigate Bias

scientific article published on 01 January 2021

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

scientific article published on 17 January 2018

Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis

scientific article published on 02 October 2016

Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis

scientific article published on 02 October 2016

Switching Structured Prediction for Simple and Complex Human Activity Recognition

scientific article published on 14 January 2020

Training confounder-free deep learning models for medical applications

scientific article published on 26 November 2020

List of works by Ehsan Adeli

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

3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients

Anatomy-guided joint tissue segmentation and topological correction for 6-month infant brain MRI with risk of autism.

Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation

Chained regularization for identifying brain patterns specific to HIV infection

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

Deep Multi-Task Multi-Channel Learning for Joint Classification and Regression of Brain Status

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

Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease

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

Infant Brain Development Prediction with Latent Partial Multi-View Representation Learning

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

Joint Sparse and Low-Rank Regularized MultiTask Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data

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

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

Metadata Normalization

Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages

Multi-level Canonical Correlation Analysis for Standard-dose PET Image Estimation.

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

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

Novel Machine Learning Identifies Brain Patterns Distinguishing Diagnostic Membership of Human Immunodeficiency Virus, Alcoholism, and Their Comorbidity of Individuals

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

Representation Learning with Statistical Independence to Mitigate Bias

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

Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis

Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis

Switching Structured Prediction for Simple and Complex Human Activity Recognition

Training confounder-free deep learning models for medical applications