2 citations
- Canon (Japan)JP2 papers
- Canon (Germany)DE1 paper
- Canon (United States)US1 paper
- Chinese Academy of Medical Sciences & Peking Union Medical CollegeCN1 paper
- Copenhagen University HospitalDK1 paper
- Medica (United States)US1 paper
- Mitsui Memorial HospitalJP1 paper
- Peking Union Medical College HospitalCN1 paper
- RigshospitaletDK1 paper
- University of CopenhagenDK1 paper
- University of EdinburghGB1 paper
3 papers
eess.IV2026
Deep Learning-Based Airway Segmentation in Systemic Lupus Erythematosus Patients with Interstitial Lung Disease (SLE-ILD): A Comparative High-Resolution CT Analysis
Sirong Piao, Ying Ming, Ruijie Zhao +11
To characterize lobar and segmental airway volume differences between systemic lupus erythematosus (SLE) patients with interstitial lung disease (ILD) and those without ILD (non-IL…
cs.CV2025★ 2 cited
Preventing Shortcut Learning in Medical Image Analysis through Intermediate Layer Knowledge Distillation from Specialist Teachers
Christopher Boland, Sotirios Tsaftaris, Sonia Dahdouh
Deep learning models are prone to learning shortcut solutions to problems using spuriously correlated yet irrelevant features of their training data. In high-risk applications such…
eess.IV2023★ 1 cited
CNN-based fully automatic mitral valve extraction using CT images and existence probability maps
Yukiteru Masuda, Ryo Ishikawa, Toru Tanaka +8
Accurate extraction of mitral valve shape from clinical tomographic images acquired in patients has proven useful for planning surgical and interventional mitral valve treatments.…