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Yoshiro Kitamura

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

10

Venues

1

Active years

2014–2025

Best venue rank

A

Where they publish

Papers

10 indexed papers, newest first.

YearVenueTitleAuthors
2025MICCAI3D Super-Resolution for Enhancing Compression Fracture Detection in Thick-Slice CT: Diffusion Models vs GANs.Akira Kudo, Yoshiro Kitamura, Yuki Suzuki, Noriyuki Tomiyama, Masatoshi Hori
2023MICCAISegmentation of Kidney Tumors on Non-Contrast CT Images Using Protuberance Detection Network.Taro Hatsutani, Akimichi Ichinose, Keigo Nakamura, Yoshiro Kitamura
2023MICCAIVisual Grounding of Whole Radiology Reports for 3D CT Images.Akimichi Ichinose, Taro Hatsutani, Keigo Nakamura, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Shoji Kido, Noriyuki Tomiyama
2022MICCAIImage Synthesis-Based Late Stage Cancer Augmentation and Semi-supervised Segmentation for MRI Rectal Cancer Staging.Saeko Sasuga, Akira Kudo, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Atsushi Hamabe, Masayuki Ishii, Ichiro Takemasa
2020MICCAITopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling.Deepak Keshwani, Yoshiro Kitamura, Satoshi Ihara, Satoshi Iizuka, Edgar Simo-Serra
2020MICCAIAutomatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks.Naoto Masuzawa, Yoshiro Kitamura, Keigo Nakamura, Satoshi Iizuka, Edgar Simo-Serra
2019MICCAIVirtual Thin Slice: 3D Conditional GAN-based Super-Resolution for CT Slice Interval.Akira Kudo, Yoshiro Kitamura, Yuanzhong Li, Satoshi Iizuka, Edgar Simo-Serra
2018MICCAIComputation of Total Kidney Volume from CT Images in Autosomal Dominant Polycystic Kidney Disease Using Multi-task 3D Convolutional Neural Networks.Deepak Keshwani, Yoshiro Kitamura, Yuanzhong Li
2015MICCAIPsoas Major Muscle Segmentation Using Higher-Order Shape Prior.Tsutomu Inoue, Yoshiro Kitamura, Yuanzhong Li, Wataru Ito, Hiroshi Ishikawa
2014MICCAICoronary Lumen and Plaque Segmentation from CTA Using Higher-Order Shape Prior.Yoshiro Kitamura, Yuanzhong Li, Wataru Ito, Hiroshi Ishikawa