List of works - Jun Zhang

A Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer's Disease Diagnosis

scientific article published on 30 March 2017

Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images

scientific article published on 16 May 2017

Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis

scientific article published on 10 January 2018

Artificial Intelligence Neuropathologist for Glioma Classification using Deep Learning on Hematoxylin and Eosin Stained Slide images and Molecular Markers

scientific article published on 14 July 2020

Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features

scientific article published on 24 November 2015

Automatic Segmentation of 3D Perivascular Spaces in 7T MR Images Using Multi-Channel Fully Convolutional Network

scholarly article by Chunfeng Lian et al published June 2018 in Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine.

Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization

scientific article published on 23 November 2019

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

scientific article published on 04 September 2017

Deformable Image Registration Using a Cue-Aware Deep Regression Network

scientific article published on 04 April 2018

Deformable Image Registration based on Similarity-Steered CNN Regression

scientific article published on 04 September 2017

Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks

scientific article

Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis

scientific article published on 20 June 2016

Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data

scientific article published on 02 October 2016

Efficient Groupwise Registration for Brain MRI by Fast Initialization

scientific article published on 07 September 2017

Enhancement of Perivascular Spaces in 7 T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering

scientific article published on 17 August 2017

First-year development of modules and hubs in infant brain functional networks

article

Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI

scientific article published on 21 December 2018

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

scientific article published on 12 September 2018

Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks

scientific article published on 04 September 2017

Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images

scientific article published on 01 October 2016

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

scientific article published on 27 October 2017

Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.

scientific article published on 27 February 2018

Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image

scientific article published on 01 October 2016

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

scientific article published on 02 October 2016

Structured Learning for 3D Perivascular Spaces Segmentation Using Vascular Features

scientific article published on March 2017

View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data

scientific article

Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores

scientific article published on 26 March 2019

List of works by Jun Zhang

A Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer's Disease Diagnosis

Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images

Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis

Artificial Intelligence Neuropathologist for Glioma Classification using Deep Learning on Hematoxylin and Eosin Stained Slide images and Molecular Markers

Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features

Automatic Segmentation of 3D Perivascular Spaces in 7T MR Images Using Multi-Channel Fully Convolutional Network

Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization

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

Deformable Image Registration Using a Cue-Aware Deep Regression Network

Deformable Image Registration based on Similarity-Steered CNN Regression

Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks

Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis

Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data

Efficient Groupwise Registration for Brain MRI by Fast Initialization

Enhancement of Perivascular Spaces in 7 T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering

First-year development of modules and hubs in infant brain functional networks

Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI

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

Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks

Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images

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

Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.

Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image

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

Structured Learning for 3D Perivascular Spaces Segmentation Using Vascular Features

View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data

Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores