2 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2025★ 1 cited
Automated segmentation of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023
M. A. D. Buser, D. C. Simons, M. Fitski +27
Surgery plays an important role within the treatment for neuroblastoma, a common pediatric cancer. This requires careful planning, often via magnetic resonance imaging (MRI)-based…
eess.IV2022★ 2 cited
Large Batch and Patch Size Training for Medical Image Segmentation
Junya Sato, Shoji Kido
Multi-organ segmentation enables organ evaluation, accounts the relationship between multiple organs, and facilitates accurate diagnosis and treatment decisions. However, only few…
cs.CV2022★ 2 cited
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs
Junya Sato, Yuki Suzuki, Tomohiro Wataya +5
Large numbers of labeled medical images are essential for the accurate detection of anomalies, but manual annotation is labor-intensive and time-consuming. Self-supervised learning…