54 citations · 59 across the 41 of their papers we have counts for
6 papers · 1 filter
Taming Domain Shift in Multi-source CT-Scan Classification via Input-Space Standardization
Chia-Ming Lee, Bo-Cheng Qiu, Ting-Yao Chen +6
Multi-source CT-scan classification suffers from domain shifts that impair cross-source generalization. While preprocessing pipelines combining Spatial-Slice Feature Learning (SSFL…
Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling
Chia-Ming Lee, Bo-Cheng Qiu, Ting-Yao Chen +6
We present our solution for the Multi-Source COVID-19 Detection Challenge, which classifies chest CT scans from four distinct medical centers. To address multi-source variability,…
HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion
Chia-Ming Lee, Yu-Fan Lin, Yu-Hao Ho +2
Hyperspectral image (HSI) fusion addresses the challenge of reconstructing High-Resolution HSIs (HR-HSIs) from High-Resolution Multispectral images (HR-MSIs) and Low-Resolution HSI…
PromptHSI: Universal Hyperspectral Image Restoration with Vision-Language Modulated Frequency Adaptation
Chia-Ming Lee, Ching-Heng Cheng, Yu-Fan Lin +5
Recent advances in All-in-One (AiO) RGB image restoration have demonstrated the effectiveness of prompt learning in handling multiple degradations within a single model. However, e…
A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection
Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang +4
Conventional Computed Tomography (CT) imaging recognition faces two significant challenges: (1) There is often considerable variability in the resolution and size of each CT scan,…
Simple 2D Convolutional Neural Network-based Approach for COVID-19 Detection
Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang +4
This study explores the use of deep learning techniques for analyzing lung Computed Tomography (CT) images. Classic deep learning approaches face challenges with varying slice coun…