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ORCIDYoshiro Kitamura
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2020 – today
- 2023
[c13]Taro Hatsutani, Akimichi Ichinose, Keigo Nakamura, Yoshiro Kitamura:
Segmentation of Kidney Tumors on Non-Contrast CT Images Using Protuberance Detection Network. MICCAI (7) 2023: 13-22- [c12]Akimichi Ichinose, Taro Hatsutani, Keigo Nakamura, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Shoji Kido, Noriyuki Tomiyama:
Visual Grounding of Whole Radiology Reports for 3D CT Images. MICCAI (5) 2023: 611-621 - [i9]Saeko Sasuga, Akira Kudo, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Atsushi Hamabe, Masayuki Ishii, Ichiro Takemasa:
Image Synthesis-based Late Stage Cancer Augmentation and Semi-Supervised Segmentation for MRI Rectal Cancer Staging. CoRR abs/2312.04779 (2023) - [i8]Akimichi Ichinose, Taro Hatsutani, Keigo Nakamura, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Shoji Kido, Noriyuki Tomiyama:
Visual Grounding of Whole Radiology Reports for 3D CT Images. CoRR abs/2312.04794 (2023) - [i7]Taro Hatsutani, Akimichi Ichinose, Keigo Nakamura, Yoshiro Kitamura:
Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network. CoRR abs/2312.04796 (2023) - [i6]Yoshiro Kitamura, Yuanzhong Li, Wataru Ito, Hiroshi Ishikawa:
Data-Dependent Higher-Order Clique Selection for Artery-Vein Segmentation by Energy Minimization. CoRR abs/2312.07860 (2023) - 2022
- [c11]Saeko Sasuga, Akira Kudo
, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Atsushi Hamabe, Masayuki Ishii, Ichiro Takemasa:
Image Synthesis-Based Late Stage Cancer Augmentation and Semi-supervised Segmentation for MRI Rectal Cancer Staging. DALI@MICCAI 2022: 1-10 - 2020
- [c10]Deepak Keshwani, Yoshiro Kitamura, Satoshi Ihara, Satoshi Iizuka, Edgar Simo-Serra:
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling. MICCAI (6) 2020: 14-23 - [c9]Naoto Masuzawa, Yoshiro Kitamura, Keigo Nakamura, Satoshi Iizuka, Edgar Simo-Serra:
Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks. MICCAI (6) 2020: 681-690 - [i5]Deepak Keshwani, Yoshiro Kitamura, Satoshi Ihara, Satoshi Iizuka, Edgar Simo-Serra:
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling. CoRR abs/2009.08674 (2020) - [i4]Naoto Masuzawa, Yoshiro Kitamura, Keigo Nakamura, Satoshi Iizuka, Edgar Simo-Serra:
Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks. CoRR abs/2009.13798 (2020)
2010 – 2019
- 2019
- [c8]Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Yuanzhong Li, Hideki Nakayama:
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-Based CT Image Augmentation for Object Detection. 3DV 2019: 729-737 - [c7]Akira Kudo, Yoshiro Kitamura, Yuanzhong Li, Satoshi Iizuka, Edgar Simo-Serra:
Virtual Thin Slice: 3D Conditional GAN-based Super-Resolution for CT Slice Interval. MLMIR@MICCAI 2019: 91-100 - [i3]Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Hideki Nakayama, Yuanzhong Li:
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection. CoRR abs/1906.04962 (2019) - [i2]Akira Kudo, Yoshiro Kitamura, Yuanzhong Li, Satoshi Iizuka, Edgar Simo-Serra:
Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval. CoRR abs/1908.11506 (2019) - 2018
- [c6]Deepak Keshwani, Yoshiro Kitamura, Yuanzhong Li:
Computation of Total Kidney Volume from CT Images in Autosomal Dominant Polycystic Kidney Disease Using Multi-task 3D Convolutional Neural Networks. MLMI@MICCAI 2018: 380-388 - [i1]Deepak Keshwani, Yoshiro Kitamura, Yuanzhong Li:
Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks. CoRR abs/1809.02268 (2018) - 2016
- [j1]Yoshiro Kitamura, Yuanzhong Li, Wataru Ito, Hiroshi Ishikawa:
Data-Dependent Higher-Order Clique Selection for Artery-Vein Segmentation by Energy Minimization. Int. J. Comput. Vis. 117(2): 142-158 (2016) - 2015
- [c5]Tsutomu Inoue, Yoshiro Kitamura, Yuanzhong Li, Wataru Ito, Hiroshi Ishikawa:
Psoas Major Muscle Segmentation Using Higher-Order Shape Prior. MCV@MICCAI 2015: 116-124 - 2014
- [c4]Yoshiro Kitamura, Yuanzhong Li, Wataru Ito, Hiroshi Ishikawa:
Coronary Lumen and Plaque Segmentation from CTA Using Higher-Order Shape Prior. MICCAI (1) 2014: 339-347 - 2013
- [c3]Tsutomu Inoue, Yoshiro Kitamura, Yuanzhong Li, Wataru Ito:
Robust airway extraction based on machine learning and minimum spanning tree. Medical Imaging: Computer-Aided Diagnosis 2013: 86700L - 2012
- [c2]Yoshiro Kitamura, Yuanzhong Li, Wataru Ito:
Automatic coronary extraction by supervised detection and shape matching. ISBI 2012: 234-237
2000 – 2009
- 2008
- [c1]Yoshiro Kitamura, Masahiko Yamada, Wataru Ito:
An image reconstruction method based on machine learning for dual-energy subtraction radiography. Medical Imaging: Image Processing 2008: 691420
Coauthor Index
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