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20212026
most citedA Sub-pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis

16 citations · 38 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026

RAM-H1200: A Unified Evaluation and Dataset on Hand Radiographs for Rheumatoid Arthritis

Songxiao Yang, Haolin Wang, Yao Fu +9

Rheumatoid arthritis (RA) assessment from hand radiographs requires multi-level analysis and modeling of anatomical structures and fine-grained local pathological changes. However,…

cs.CV2026

Step-CoT: Stepwise Visual Chain-of-Thought for Medical Visual Question Answering

Lin Fan, Yafei Ou, Zhipeng Deng +8

Chain-of-thought (CoT) reasoning has advanced medical visual question answering (VQA), yet most existing CoT rationales are free-form and fail to capture the structured reasoning p…

eess.IV2025

RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis

Songxiao Yang, Haolin Wang, Yao Fu +5

Rheumatoid arthritis (RA) is a common autoimmune disease that has been the focus of research in computer-aided diagnosis (CAD) and disease monitoring. In clinical settings, convent…

eess.IV2025

Layer Separation: Adjustable Joint Space Width Images Synthesis in Conventional Radiography

Haolin Wang, Yafei Ou, Prasoon Ambalathankandy +5

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by joint inflammation and progressive structural damage. Joint space width (JSW) is a critical indicator in…

eess.IV2024

BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs

Haolin Wang, Yafei Ou, Prasoon Ambalathankandy +5

Conventional radiography is the widely used imaging technology in diagnosing, monitoring, and prognosticating musculoskeletal (MSK) diseases because of its easy availability, versa…

cs.LG2024

MDA: An Interpretable and Scalable Multi-Modal Fusion under Missing Modalities and Intrinsic Noise Conditions

Lin Fan, Yafei Ou, Cenyang Zheng +5

Multi-modal learning has shown exceptional performance in various tasks, especially in medical applications, where it integrates diverse medical information for comprehensive diagn…

cs.CV2024

Halo Reduction in Display Systems through Smoothed Local Histogram Equalization and Human Visual System Modeling

Prasoon Ambalathankandy, Yafei Ou, Masayuki Ikebe

Halo artifacts significantly impact display quality. We propose a method to reduce halos in Local Histogram Equalization (LHE) algorithms by separately addressing dark and light va…

cs.CV2024★ 3 cited

A Psychological Study: Importance of Contrast and Luminance in Color to Grayscale Mapping

Prasoon Ambalathankandy, Yafei Ou, Sae Kaneko +1

Grayscale images are essential in image processing and computer vision tasks. They effectively emphasize luminance and contrast, highlighting important visual features, while also…

eess.IV2023★ 16 cited

A Deep Registration Method for Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis

Haolin Wang, Yafei Ou, Wanxuan Fang +5

Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease that results in progressive articular destruction and severe disability. Joint space narrowing (JSN) progress…

eess.IV2022★ 16 cited

A Sub-pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis

Yafei Ou, Prasoon Ambalathankandy, Ryunosuke Furuya +6

Rheumatoid arthritis (RA) is a chronic autoimmune disease that primarily affects peripheral synovial joints, like fingers, wrist and feet. Radiology plays a critical role in the di…

eess.IV2021★ 3 cited

A color temperature-based high-speed decolorization: an empirical approach for tone mapping applications

Prasoon Ambalathankandy, Yafei Ou, Masayuki Ikebe

Grayscale images are fundamental to many image processing applications like data compression, feature extraction, printing and tone mapping. However, some image information is lost…