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cs.CV2024

ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics

Junchao Zhu, Ruining Deng, Tianyuan Yao +9

Spatial transcriptomics (ST) is an emerging technology that enables medical computer vision scientists to automatically interpret the molecular profiles underlying morphological fe…

cs.CV2024

Robust Fiber Orientation Distribution Function Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI

Tianyuan Yao, Francois Rheault, Leon Y Cai +11

Diffusion-weighted magnetic resonance imaging (DW-MRI) is a critical imaging method for capturing and modeling tissue microarchitecture at a millimeter scale. A common practice to…

cs.CV2024

Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Results

Jialin Yue, Tianyuan Yao, Ruining Deng +5

Recently, the use of circle representation has emerged as a method to improve the identification of spherical objects (such as glomeruli, cells, and nuclei) in medical imaging stud…

eess.IV2024

Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse Histopathology

Lining Yu, Mengmeng Yin, Ruining Deng +9

Segmenting glomerular intraglomerular tissue and lesions traditionally depends on detailed morphological evaluations by expert nephropathologists, a labor-intensive process suscept…

eess.IV2024

Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation

Yifei Wu, Juming Xiong, Tianyuan Yao +5

Chronic rhinosinusitis (CRS) is characterized by persistent inflammation in the paranasal sinuses, leading to typical symptoms of nasal congestion, facial pressure, olfactory dysfu…

cs.CV2024

Automatic Image Unfolding and Stitching Framework for Esophageal Lining Video Based on Density-Weighted Feature Matching

Muyang Li, Juming Xiong, Ruining Deng +4

Endoscopy is a crucial tool for diagnosing the gastrointestinal tract, but its effectiveness is often limited by a narrow field of view and the dynamic nature of the internal envir…