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.

Featured Co-authors

Wei Chen
141 publications
Hao Chen
114 publications
Lei Li
83 publications
Xin Yang
58 publications
Daniel Cohen-Or
58 publications
Yi Wang
58 publications
Sébastien Ourselin
57 publications
Ben Glocker
54 publications
Lu Wang
52 publications
Ulas Bagci
49 publications
Guang Yang
47 publications

DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets

Deep convolutional neural networks have significantly boosted the perfor...
10/13/2020 ∙ by Shujun Wang, et al. ∙ 13 ∙ share

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Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation

The success of deep convolutional neural networks is partially attribute...
10/04/2020 ∙ by Kang Li, et al. ∙ 11 ∙ share

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Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation

Deep learning methods show promising results for overlapping cervical ce...
07/21/2020 ∙ by Yanning Zhou, et al. ∙ 8 ∙ share

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Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization

The generalization capability of neural networks across domains is cruci...
07/18/2020 ∙ by Shujun Wang, et al. ∙ 0 ∙ share

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Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation

Medical image annotations are prohibitively time-consuming and expensive...
07/13/2020 ∙ by Kang Li, et al. ∙ 11 ∙ share

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Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video

Performing low hertz labeling for surgical videos at intervals can great...
07/06/2020 ∙ by Zixu Zhao, et al. ∙ 0 ∙ share

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Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains

Model generalization capacity at domain shift (e.g., various imaging pro...
07/04/2020 ∙ by Quande Liu, et al. ∙ 0 ∙ share

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A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises

Surgical knot tying is one of the most fundamental and important procedu...
07/02/2020 ∙ by Bo Lu, et al. ∙ 0 ∙ share

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DNF-Net: a Deep Normal Filtering Network for Mesh Denoising

This paper presents a deep normal filtering network, called DNF-Net, for...
06/28/2020 ∙ by Xianzhi Li, et al. ∙ 0 ∙ share

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Deep Mining External Imperfect Data for Chest X-ray Disease Screening

Deep learning approaches have demonstrated remarkable progress in automa...
06/06/2020 ∙ by Luyang Luo, et al. ∙ 13 ∙ share

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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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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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LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition

Automatic surgical workflow recognition in video is an essentially funda...
04/21/2020 ∙ by Xueying Shi, et al. ∙ 0 ∙ 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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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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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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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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Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search

Automatic surgical gesture recognition is fundamental for improving inte...
02/20/2020 ∙ by Xiaojie Gao, et al. ∙ 0 ∙ share

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MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data

Automated prostate segmentation in MRI is highly demanded for computer-a...
02/09/2020 ∙ by Quande Liu, et al. ∙ 0 ∙ share

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Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

Unsupervised domain adaptation has increasingly gained interest in medic...
02/06/2020 ∙ by Cheng Chen, et al. ∙ 0 ∙ 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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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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Revisiting Shadow Detection: A New Benchmark Dataset for Complex World

Shadow detection in general photos is a nontrivial problem, due to the c...
11/16/2019 ∙ by Xiaowei Hu, et al. ∙ 0 ∙ 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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FetusMap: Fetal Pose Estimation in 3D Ultrasound

The 3D ultrasound (US) entrance inspires a multitude of automated prenat...
10/11/2019 ∙ by Xin Yang, et al. ∙ 0 ∙ share

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Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound

Standard plane localization is crucial for ultrasound (US) diagnosis. In...
10/10/2019 ∙ by Haoran Dou, et al. ∙ 0 ∙ share

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An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis

Automated skin lesion analysis is very crucial in clinical practice, as ...
09/05/2019 ∙ by Xueying Shi, et al. ∙ 0 ∙ share

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CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images

Colorectal cancer (CRC) grading is typically carried out by assessing th...
09/03/2019 ∙ by Yanning Zhou, et al. ∙ 0 ∙ share

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Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes

Volumetric ultrasound has great potentials in promoting prenatal examina...
08/31/2019 ∙ by Xu Wang, et al. ∙ 0 ∙ share

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IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation

Cell instance segmentation in Pap smear image remains challenging due to...
08/19/2019 ∙ by Yanning Zhou, et al. ∙ 0 ∙ share

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Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening

Optical Coherence Tomography (OCT) imaging plays an important role in gl...
07/26/2019 ∙ by Xi Wang, et al. ∙ 0 ∙ share

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PU-GAN: a Point Cloud Upsampling Adversarial Network

Point clouds acquired from range scans are often sparse, noisy, and non-...
07/25/2019 ∙ by Ruihui Li, et al. ∙ 0 ∙ 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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Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

Training deep convolutional neural networks usually requires a large amo...
07/16/2019 ∙ by Lequan Yu, et al. ∙ 0 ∙ 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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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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Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration

Brain image registration transforms a pair of images into one system wit...
07/03/2019 ∙ by Lihao Liu, et al. ∙ 0 ∙ 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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Difficulty-aware Meta-Learning for Rare Disease Diagnosis

Rare diseases have extremely low-data regimes, unlike common diseases wi...
06/30/2019 ∙ by Xiaomeng Li, et al. ∙ 0 ∙ 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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Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis

Accurate and automatic analysis of breast MRI plays an important role in...
06/07/2019 ∙ by Luyang Luo, et al. ∙ 0 ∙ 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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PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis

Automatic detection of cancer metastasis from whole slide images (WSIs) ...
05/03/2019 ∙ by Zixu Zhao, et al. ∙ 0 ∙ share

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Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data

This paper presents a new method for shadow removal using unpaired data,...
03/26/2019 ∙ by Xiaowei Hu, et al. ∙ 0 ∙ 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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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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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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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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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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