1k citations · 3.9k across the 81 of their papers we have counts for
8 papers · 1 filter
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction
Liang Jin, Shixuan Gu, Donglai Wei +7
Automatic rib labeling and anatomical centerline extraction are common prerequisites for various clinical applications. Prior studies either use in-house datasets that are inaccess…
Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision
Dingyi Rong, Jiancheng Yang, Bingbing Ni +1
Projection map (PM) from optical coherence tomography (OCT) B-scan is an important tool to diagnose retinal diseases, which typically requires retinal layer segmentation. In this s…
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
Jiancheng Yang, Shixuan Gu, Donglai Wei +2
Manual rib inspections in computed tomography (CT) scans are clinically critical but labor-intensive, as 24 ribs are typically elongated and oblique in 3D volumes. Automatic rib se…
Asymmetric 3D Context Fusion for Universal Lesion Detection
Jiancheng Yang, Yi He, Kaiming Kuang +3
Modeling 3D context is essential for high-performance 3D medical image analysis. Although 2D networks benefit from large-scale 2D supervised pretraining, it is weak in capturing 3D…
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study
Jiancheng Yang, Mingze Gao, Kaiming Kuang +4
Diagnosis of pulmonary lesions from computed tomography (CT) is important but challenging for clinical decision making in lung cancer related diseases. Deep learning has achieved g…
Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers
Jiancheng Yang, Haoran Deng, Xiaoyang Huang +2
Diagnosis and treatment of multiple pulmonary nodules are clinically important but challenging. Prior studies on nodule characterization use solitary-nodule approaches on multiple…
Reinventing 2D Convolutions for 3D Images
Jiancheng Yang, Xiaoyang Huang, Yi He +4
There have been considerable debates over 2D and 3D representation learning on 3D medical images. 2D approaches could benefit from large-scale 2D pretraining, whereas they are gene…
Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis
Jiancheng Yang, Rongyao Fang, Bingbing Ni +3
Radiomics analysis has achieved great success in recent years. However, conventional Radiomics analysis suffers from insufficiently expressive hand-crafted features. Recently, emer…