42 citations · 88 across the 9 of their papers we have counts for
9 papers
Lethe: How Hard Is It to Forget? A Benchmark for Federated Unlearning in Medical Imaging
Shengchao Chen, Ting Shu
Federated learning enables medical-imaging models to be trained across hospitals, and privacy law, most explicitly the GDPR ``right to be forgotten'', turns removing a hospital's,…
FM: Unified Federated Foundation Models for Heterogeneous Multimodal Medical Imaging
Shengchao Chen, Ting Shu
Building foundation models for medical imaging requires pooling data across institutions, yet privacy regulations prohibit centralized aggregation. Existing Federated Foundation Mo…
Learning Design Skills as Memory Policies for Agentic Photonic Inverse Design
Shengchao Chen, Ting Shu, Sufen Ren
Photonic crystal fiber (PCF) inverse design remains challenging because candidate geometries must satisfy coupled optical targets under expensive electromagnetic simulation. Existi…
Boosting Sclera Segmentation through Semi-supervised Learning with Fewer Labels
Guanjun Wang, Lu Wang, Ning Niu +4
Sclera segmentation is crucial for developing automatic eye-related medical computer-aided diagnostic systems, as well as for personal identification and verification, because the…
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis
Sufen Ren, Yule Hu, Shengchao Chen +1
Medical image classification plays a crucial role in computer-aided clinical diagnosis. While deep learning techniques have significantly enhanced efficiency and reduced costs, the…
Free Lunch for Federated Remote Sensing Target Fine-Grained Classification: A Parameter-Efficient Framework
Shengchao Chen, Ting Shu, Huan Zhao +3
Remote Sensing Target Fine-grained Classification (TFGC) is of great significance in both military and civilian fields. Due to location differences, growth in data size, and centra…
MASK-CNN-Transformer For Real-Time Multi-Label Weather Recognition
Shengchao Chen, Ting Shu, Huan Zhao +1
Weather recognition is an essential support for many practical life applications, including traffic safety, environment, and meteorology. However, many existing related works canno…
TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression
Shengchao Chen, Ting Shu, Huan Zhao +2
Meteorological radar reflectivity data (i.e. radar echo) significantly influences precipitation prediction. It can facilitate accurate and expeditious forecasting of short-term hea…
Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia from Chest X-Ray Images
Shengchao Chen, Sufen Ren, Guanjun Wang +2
Chest imaging plays an essential role in diagnosing and predicting patients with COVID-19 with evidence of worsening respiratory status. Many deep learning-based approaches for pne…