Danny Z. Chen
17 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Keyword Champion (2)
ποΈ
Keyword Collector
(79)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Computer Vision
(10)
Deep Learning
(9)
Domain-Specific
(9)
Learning Types Β· Machine Learning
(7)
Learning Types Β· Deep Learning
(6)
Healthcare & Medicine
(5)
Architectures
(5)
Clinical
(5)
Analysis
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Core AI
(3)
Processing
(3)
Application Areas
(2)
Keywords
deep learning
(4)
fully convolutional network
(3)
representation learning
(3)
biomedical image segmentation
(2)
self-supervised learning
(2)
medical image segmentation
(2)
medical image classification
(2)
feature learning
(1)
object detection
(1)
semi-supervised learning
(1)
transductive learning
(1)
feature extraction
(1)
medical imaging
(1)
data augmentation
(1)
image segmentation
(1)
point cloud
(1)
autonomous driving
(1)
ensemble learning
(1)
image synthesis
(1)
lane detection
(1)
Papers
TopoCL: Topological Contrastive Learning for Medical Imaging
CVPR 2026
OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM
ICCV 2025
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network
WACV 2025
AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey
IJCAI 2024
A Siamese Transformer with Hierarchical Refinement for Lane Detection
NeurIPS 2024
IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images
MICCAI 2024
LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation
MICCAI 2024
PHG-Net: Persistent Homology Guided Medical Image Classification
WACV 2024
TeleOR: Real-time Telemedicine System for Full-Scene Operating Room
MICCAI 2024
T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction
AAAI 2023
DANets: Deep Abstract Networks for Tabular Data Classification and Regression
AAAI 2022
Electrocardio Panorama: Synthesizing New ECG views with Self-supervision
IJCAI 2021
A Hierarchical Graph Network for 3D Object Detection on Point Clouds
CVPR 2020
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training
AAAI 2020
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
AAAI 2019
Biomedical Image Segmentation via Representative Annotation
AAAI 2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation
MIDL 2019