Kensaku Mori

16.9k total citations · 1 hit paper
399 papers, 6.7k citations indexed

About

Kensaku Mori is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kensaku Mori has authored 399 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 190 papers in Computer Vision and Pattern Recognition, 122 papers in Radiology, Nuclear Medicine and Imaging and 99 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kensaku Mori's work include Medical Image Segmentation Techniques (90 papers), Radiomics and Machine Learning in Medical Imaging (73 papers) and Colorectal Cancer Screening and Detection (66 papers). Kensaku Mori is often cited by papers focused on Medical Image Segmentation Techniques (90 papers), Radiomics and Machine Learning in Medical Imaging (73 papers) and Colorectal Cancer Screening and Detection (66 papers). Kensaku Mori collaborates with scholars based in Japan, United States and United Kingdom. Kensaku Mori's co-authors include Kazunari Misawa, Masahiro Oda, Daniel Rueckert, Michitaka Fujiwara, Takayuki Kitasaka, Yasuhito Suenaga, Masashi Misawa, Yuichi Mori, Shin‐ei Kudo and Nicholas Ayache and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Scientific Reports.

In The Last Decade

Kensaku Mori

365 papers receiving 6.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Self-supervised learning for medical image analysis using image context restoration

2019 340 citations Kensaku Mori, Kazunari Misawa et al. Medical Image Analysis profile →

Peers

Kensaku Mori

RNMI

CVPR

ONCOL

PRM

Sandy Napel United States

Qi Dou Hong Kong

Danail Stoyanov United Kingdom

G Marchal Belgium

Hiroshi Fujita Japan

Yixuan Yuan Hong Kong

Zhengrong Liang United States

Francesco Ciompi Netherlands

Lena Maier‐Hein Germany

Suryakanth Gurudu United States

Sandy Napel United States

Kensaku Mori

5.9k ×2.3

RNMI

1.6k ×0.6

CVPR

1.4k ×0.9

ONCOL

3.6k ×2.3

PRM

1.9k ×1.6

Citations per year, relative to Kensaku Mori Kensaku Mori (= 1×) peers Sandy Napel

Countries citing papers authored by Kensaku Mori

Since Specialization

Citations

This map shows the geographic impact of Kensaku Mori's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kensaku Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kensaku Mori more than expected).

Fields of papers citing papers by Kensaku Mori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kensaku Mori. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kensaku Mori. The network helps show where Kensaku Mori may publish in the future.

Co-authorship network of co-authors of Kensaku Mori

This figure shows the co-authorship network connecting the top 25 collaborators of Kensaku Mori. A scholar is included among the top collaborators of Kensaku Mori based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kensaku Mori. Kensaku Mori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hayashi, Yuichiro, et al.. (2025). Enhanced self-supervised monocular depth estimation with self-attention and joint depth-pose loss for laparoscopic images. International Journal of Computer Assisted Radiology and Surgery. 20(4). 775–785.

Hayashi, Yuichiro, et al.. (2024). Federated 3D multi-organ segmentation with partially labeled and unlabeled data. International Journal of Computer Assisted Radiology and Surgery. 2 indexed citations

Ueno, Yuta, Masahiro Oda, Takefumi Yamaguchi, et al.. (2024). Deep learning model for extensive smartphone-based diagnosis and triage of cataracts and multiple corneal diseases. British Journal of Ophthalmology. 108(10). 1406–1413. 19 indexed citations

Shen, Chen, Holger R. Roth, Yuichiro Hayashi, et al.. (2024). Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT. International Journal of Computer Assisted Radiology and Surgery. 19(4). 655–664. 2 indexed citations

Jiang, Kai, Hayato Itoh, Masahiro Oda, et al.. (2023). Gaussian affinity and GIoU-based loss for perforation detection and localization from colonoscopy videos. International Journal of Computer Assisted Radiology and Surgery. 18(5). 795–805. 3 indexed citations

Ohno, Eizaburo, Taiki Furukawa, Kentaro Yamao, et al.. (2023). Artificial intelligence in a prediction model for postendoscopic retrograde cholangiopancreatography pancreatitis. Digestive Endoscopy. 36(4). 463–472. 8 indexed citations

Davila, Ana, Kazunari Misawa, Jie Qiu, et al.. (2023). Endoscope Automation Framework with Hierarchical Control and Interactive Perception for Multi-Tool Tracking in Minimally Invasive Surgery. Sensors. 23(24). 9865–9865. 13 indexed citations

Wang, Cheng, Masahiro Oda, Yuichiro Hayashi, et al.. (2022). Anatomy aware-based 2.5D bronchoscope tracking for image-guided bronchoscopic navigation. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 11(4). 1122–1129. 4 indexed citations

Itoh, Hayato, Masashi Misawa, Yuichi Mori, et al.. (2022). Positive-gradient-weighted object activation mapping: visual explanation of object detector towards precise colorectal-polyp localisation. International Journal of Computer Assisted Radiology and Surgery. 17(11). 2051–2063. 3 indexed citations

10.

Shen, Chen, Holger R. Roth, Yuichiro Hayashi, et al.. (2021). A cascaded fully convolutional network framework for dilated pancreatic duct segmentation. International Journal of Computer Assisted Radiology and Surgery. 17(2). 343–354. 8 indexed citations

11.

Itoh, Hayato, Holger R. Roth, Masahiro Oda, et al.. (2019). Stable polyp‐scene classification via subsampling and residual learning from an imbalanced large dataset. Healthcare Technology Letters. 6(6). 237–242. 4 indexed citations

12.

Nakanishi, Hayao, Masahiro Oda, Kensaku Mori, et al.. (2019). Development of a New Laparoscopic Detection System for Gastric Cancer Using Near-Infrared Light-Emitting Clips with Glass Phosphor. Micromachines. 10(2). 81–81.

13.

Wang, Chenglong, Masahiro Oda, Yuichiro Hayashi, et al.. (2019). Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation. Medical Image Analysis. 60. 101623–101623. 27 indexed citations

14.

Arai, Fumihito, Taisuke Masuda, Toshio Fukuda, et al.. (2017). Bionic Humanoid: Design of Humanoid Model for Next Generation Surgical Training. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2017(0). 2A1–N07. 1 indexed citations

15.

Oda, Masahiro, et al.. (2015). Development of blood vessel segmentation method from contrasted CT volumes using iterative segmentation approach. IEICE Technical Report; IEICE Tech. Rep.. 114(482). 311–316. 1 indexed citations

16.

Beichel, Reinhard, Marleen de Bruijne, Bram van Ginneken, et al.. (2011). The Fourth International Workshop on Pulmonary Image Analysis. Data Archiving and Networked Services (DANS). 2 indexed citations

17.

Deguchi, Daisuke, Kensaku Mori, Takayuki Kitasaka, et al.. (2006). A method for bronchoscope tracking by combining a position sensor and image registration. Computer Aided Surgery. 11(3). 109–117. 6 indexed citations

18.

Mori, Kensaku, Daisuke Deguchi, Takayuki Kitasaka, et al.. (2005). Hybrid bronchoscope tracking using a magnetic tracking sensor and image registration. Lecture notes in computer science. 543–550. 49 indexed citations

19.

Li, Tian, Patrick Kilgannon, Yoshihiro Yoshihara, et al.. (2000). Binding of T lymphocytes to hippocampal neurons through ICAM-5 (telencephalin) and characterization of its interaction with the leukocyte integrin CD11a / CD18. European Journal of Immunology. 30(3). 810–818. 4 indexed citations

20.

Toriwaki, Jun‐ichiro & Kensaku Mori. (1999). Recent Progress in Medical Image Processing-Virtualized Human Body and Computer-Aided Surgery. IEICE Transactions on Information and Systems. 82(3). 611–628. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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