6 citations · 11 across the 4 of their papers we have counts for
4 papers
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer
Kazuma Kobayashi, Yasuyuki Takamizawa, Mototaka Miyake +7
Explainability is key to enhancing artificial intelligence's trustworthiness in medicine. However, several issues remain concerning the actual benefit of explainable models for cli…
Sketch-based Medical Image Retrieval
Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya +12
The amount of medical images stored in hospitals is increasing faster than ever; however, utilizing the accumulated medical images has been limited. This is because existing conten…
Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose +5
In medical imaging, the characteristics purely derived from a disease should reflect the extent to which abnormal findings deviate from the normal features. Indeed, physicians ofte…
Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose +7
In real-world clinical practice, overlooking unanticipated findings can result in serious consequences. However, supervised learning, which is the foundation for the current succes…