Pheng-Ann Heng

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The Chinese University of Hong Kong

Professor at the Department of Computer Science and Engineering at The Chinese University of Hong Kong, Department Chairman at the Department of Computer Science and Engineering at The Chinese University of Hong Kong from 2014 to 2017, Head of Graduate Division from 2005 to 2008 and then again from 2011 to 2016, Director of Virtual Reality, Visualization and Imaging Research Center at CUHK since 1999, Director of Center for Human-Computer Interaction at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences since 2006, Appointed by China Ministry of Education as a Cheung Kong Scholar Chair Professor in 2007.

Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model

Training deep neural networks usually requires a large amount of labeled...
05/15/2020 ∙ by Quande Liu, et al. ∙ 55 ∙ share

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CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leadi...
11/04/2019 ∙ by Xiaomeng Li, et al. ∙ 43 ∙ share

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Instance Shadow Detection

Instance shadow detection is a brand new problem, aiming to find shadow ...
11/16/2019 ∙ by Tianyu Wang, et al. ∙ 35 ∙ share

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Unpaired Multi-modal Segmentation via Knowledge Distillation

Multi-modal learning is typically performed with network architectures c...
01/06/2020 ∙ by Qi Dou, et al. ∙ 23 ∙ share

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SAC-Net: Spatial Attenuation Context for Salient Object Detection

This paper presents a new deep neural network design for salient object ...
03/25/2019 ∙ by Xiaowei Hu, et al. ∙ 18 ∙ share

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A Rotation-Invariant Framework for Deep Point Cloud Analysis

Recently, many deep neural networks were designed to process 3D point cl...
03/16/2020 ∙ by Xianzhi Li, et al. ∙ 15 ∙ share

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Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation

Deep convolutional neural networks have achieved remarkable progress on ...
02/28/2019 ∙ by Xiaomeng Li, et al. ∙ 14 ∙ share

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Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge

Knowledge of whole heart anatomy is a prerequisite for many clinical app...
02/21/2019 ∙ by Xiahai Zhuang, et al. ∙ 14 ∙ share

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Robust Medical Instrument Segmentation Challenge 2019

Intraoperative tracking of laparoscopic instruments is often a prerequis...
03/23/2020 ∙ by Tobias Ross, et al. ∙ 13 ∙ share

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Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation

Glaucoma is a leading cause of irreversible blindness. Accurate segmenta...
02/20/2019 ∙ by Shujun Wang, et al. ∙ 12 ∙ share

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Unsupervised Detection of Distinctive Regions on 3D Shapes

This paper presents a novel approach to learn and detect distinctive reg...
05/05/2019 ∙ by Xianzhi Li, et al. ∙ 12 ∙ share

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Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

Accurate medical image segmentation commonly requires effective learning...
02/22/2020 ∙ by Cheng Chen, et al. ∙ 10 ∙ share

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Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video

Automatic instrument segmentation in video is an essentially fundamental...
07/18/2019 ∙ by Yueming Jin, et al. ∙ 9 ∙ share

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PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation

Deep convolutional networks have demonstrated the state-of-the-art perfo...
12/19/2018 ∙ by Qi Dou, et al. ∙ 8 ∙ share

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The Liver Tumor Segmentation Benchmark (LiTS)

In this work, we report the set-up and results of the Liver Tumor Segmen...
01/13/2019 ∙ by Patrick Bilic, et al. ∙ 8 ∙ share

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Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

This paper presents a novel unsupervised domain adaptation framework, ca...
01/24/2019 ∙ by Cheng Chen, et al. ∙ 8 ∙ share

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PointAugment: an Auto-Augmentation Framework for Point Cloud Classification

We present PointAugment, a new auto-augmentation framework that automati...
02/25/2020 ∙ by Ruihui Li, et al. ∙ 8 ∙ share

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Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes

Background and Objective: Biometric measurements of fetal head are impor...
04/28/2020 ∙ by Xin Yang, et al. ∙ 5 ∙ share

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Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Automatic prostate segmentation in transrectal ultrasound (TRUS) images ...
07/03/2019 ∙ by Yi Wang, et al. ∙ 3 ∙ share

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Revisiting Metric Learning for Few-Shot Image Classification

The goal of few-shot learning is to recognize new visual concepts with j...
07/06/2019 ∙ by Xiaomeng Li, et al. ∙ 2 ∙ share

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Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis

Surgical tool presence detection and surgical phase recognition are two ...
07/13/2019 ∙ by Yueming Jin, et al. ∙ 2 ∙ share

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Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation

Accurate segmentation of the optic disc (OD) and cup (OC)in fundus image...
06/26/2019 ∙ by Shujun Wang, et al. ∙ 1 ∙ share

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H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes

Liver cancer is one of the leading causes of cancer death. To assist doc...
09/21/2017 ∙ by Xiaomeng Li, et al. ∙ 0 ∙ share

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Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning

In this paper, we propose a novel framework with 3D convolutional networ...
08/13/2017 ∙ by Qi Dou, et al. ∙ 0 ∙ share

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Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets

Automatic and accurate whole-heart and great vessel segmentation from 3D...
08/02/2017 ∙ by Lequan Yu, et al. ∙ 0 ∙ share

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ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images

Lymph node metastasis is one of the most significant diagnostic indicato...
07/30/2017 ∙ by Huangjing Lin, et al. ∙ 0 ∙ share

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Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge

Automatic detection of pulmonary nodules in thoracic computed tomography...
12/23/2016 ∙ by Arnaud Arindra Adiyoso Setio, et al. ∙ 0 ∙ share

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Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images

Boundary incompleteness raises great challenges to automatic prostate se...
12/06/2016 ∙ by Xin Yang, et al. ∙ 0 ∙ share

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Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization

Dyadic Data Prediction (DDP) is an important problem in many research ar...
01/13/2016 ∙ by Guangyong Chen, et al. ∙ 0 ∙ share

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VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation

Recently deep residual learning with residual units for training very de...
08/21/2016 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images

Accurate detection and segmentation of anatomical structures from ultras...
07/07/2016 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

Automatic liver segmentation from CT volumes is a crucial prerequisite y...
07/03/2016 ∙ by Qi Dou, et al. ∙ 0 ∙ share

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DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

The morphology of glands has been used routinely by pathologists to asse...
04/10/2016 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest

Colorectal adenocarcinoma originating in intestinal glandular structures...
03/01/2016 ∙ by Korsuk Sirinukunwattana, et al. ∙ 0 ∙ share

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Blind Image Denoising via Dependent Dirichlet Process Tree

Most existing image denoising approaches assumed the noise to be homogen...
01/13/2016 ∙ by Fengyuan Zhu, et al. ∙ 0 ∙ share

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Direction-aware Spatial Context Features for Shadow Detection

Shadow detection is a fundamental and challenging task, since it require...
12/12/2017 ∙ by Xiaowei Hu, et al. ∙ 0 ∙ share

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SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction

Cell nuclei detection and fine-grained classification have been fundamen...
12/22/2017 ∙ by Yanning Zhou, et al. ∙ 0 ∙ share

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PU-Net: Point Cloud Upsampling Network

Learning and analyzing 3D point cloud with deep networks is challenging ...
01/21/2018 ∙ by Lequan Yu, et al. ∙ 0 ∙ share

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SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection

Vision-based vehicle detection approaches achieve incredible success in ...
04/02/2018 ∙ by Xiaowei Hu, et al. ∙ 0 ∙ share

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Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss

Convolutional networks (ConvNets) have achieved great successes in vario...
04/29/2018 ∙ by Qi Dou, et al. ∙ 0 ∙ share

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Direction-aware Spatial Context Features for Shadow Detection and Removal

Shadow detection and shadow removal are fundamental and challenging task...
05/12/2018 ∙ by Xiaowei Hu, et al. ∙ 0 ∙ share

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Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation

In spite of the compelling achievements that deep neural networks (DNNs)...
06/02/2018 ∙ by Cheng Chen, et al. ∙ 0 ∙ share

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MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images

The analysis of glandular morphology within colon histopathology images ...
06/05/2018 ∙ by Simon Graham, et al. ∙ 0 ∙ share

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Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images

Automatic lesion segmentation in dermoscopy images is an essential step ...
07/08/2018 ∙ by Xiaomeng Li, et al. ∙ 0 ∙ share

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EC-Net: an Edge-aware Point set Consolidation Network

Point clouds obtained from 3D scans are typically sparse, irregular, and...
07/16/2018 ∙ by Lequan Yu, et al. ∙ 0 ∙ share

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Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model

Automatic skin lesion segmentation on dermoscopic images is an essential...
08/12/2018 ∙ by Xiaomeng Li, et al. ∙ 0 ∙ share

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Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation

Segmenting left atrium in MR volume holds great potentials in promoting ...
12/14/2018 ∙ by Xin Yang, et al. ∙ 0 ∙ share

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Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation

Accurately segmenting left atrium in MR volume can benefit the ablation ...
12/14/2018 ∙ by Cheng Bian, et al. ∙ 0 ∙ share

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Robust Learning at Noisy Labeled Medical Images:Applied to Skin Lesion Classification

Deep neural networks (DNNs) have achieved great success in a wide variet...
01/23/2019 ∙ by Cheng Xue, et al. ∙ 0 ∙ share

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CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation

Accurate segmenting nuclei instances is a crucial step in computer-aided...
03/13/2019 ∙ by Yanning Zhou, et al. ∙ 0 ∙ share

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