Koichiro Yasaka

4.0k total citations · 1 hit paper
101 papers, 3.0k citations indexed

About

Koichiro Yasaka is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery. According to data from OpenAlex, Koichiro Yasaka has authored 101 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Radiology, Nuclear Medicine and Imaging, 34 papers in Biomedical Engineering and 22 papers in Surgery. Recurrent topics in Koichiro Yasaka's work include Radiomics and Machine Learning in Medical Imaging (24 papers), Advanced X-ray and CT Imaging (24 papers) and Radiation Dose and Imaging (23 papers). Koichiro Yasaka is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (24 papers), Advanced X-ray and CT Imaging (24 papers) and Radiation Dose and Imaging (23 papers). Koichiro Yasaka collaborates with scholars based in Japan, United States and Canada. Koichiro Yasaka's co-authors include Osamu Abe, Hiroyuki Akai, Shigeru Kiryu, Akira Kunimatsu, Kuni Ohtomo, Masaaki Akahane, Jiro Sato, Masaki Katsura, Izuru Matsuda and Natsuko Kunimatsu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Koichiro Yasaka

90 papers receiving 2.9k 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.

Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study

2017 480 citations Koichiro Yasaka, Hiroyuki Akai et al. Radiology profile →

Peers

Countries citing papers authored by Koichiro Yasaka

Since Specialization

Citations

This map shows the geographic impact of Koichiro Yasaka'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 Koichiro Yasaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichiro Yasaka more than expected).

Fields of papers citing papers by Koichiro Yasaka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koichiro Yasaka. 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 Koichiro Yasaka. The network helps show where Koichiro Yasaka may publish in the future.

Co-authorship network of co-authors of Koichiro Yasaka

This figure shows the co-authorship network connecting the top 25 collaborators of Koichiro Yasaka. A scholar is included among the top collaborators of Koichiro Yasaka 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 Koichiro Yasaka. Koichiro Yasaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Deep learning reconstruction enhances image quality in contrast-enhanced CT venography for deep vein thrombosis 2025 ·Emergency Radiology ·(unknown), Koichiro Yasaka, (unknown), (unknown), Mariko Kurokawa, (unknown)	0
2	Super-Resolution Deep Learning Reconstruction for T2-Weighted Images: Improvement in Microbleed Lesion Detection and Image Quality 2025 ·Journal of Imaging Informatics in Medicine* ·(unknown), Koichiro Yasaka, (unknown), (unknown), (unknown), Yusuke Watanabe, Yuichi Suzuki, Shiori Amemiya, (unknown), (unknown)	0
3	Reducing motion artifacts in the aorta: super-resolution deep learning reconstruction with motion reduction algorithm 2025 ·Japanese Journal of Radiology ·Koichiro Yasaka, (unknown), (unknown), Osamu Abe	0
4	Efficacy of a large language model in classifying branch-duct intraductal papillary mucinous neoplasms 2025 ·Abdominal Radiology ·(unknown), Koichiro Yasaka, (unknown), (unknown), (unknown), (unknown), Osamu Abe	1
5	Changes after sterile inflammation caused by trabectedin infusion from central venous port: A case report 2024 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Koichiro Yasaka, Hiroshi Kobayashi, Osamu Abe	1
6	Faster acquisition of magnetic resonance imaging sequences of the knee via deep learning reconstruction: a volunteer study 2024 ·Clinical Radiology ·Hiroyuki Akai, Koichiro Yasaka, Hirotake Sugawara, Toshihiro Furuta, Tomoo Tajima, Shimpei Kato, (unknown), Kuni Ohtomo, Osamu Abe, Shigeru Kiryu	0
7	Large multimodality model fine-tuned for detecting breast and esophageal carcinomas on CT: a preliminary study 2024 ·Japanese Journal of Radiology ·Koichiro Yasaka, Masashi Kawamura, (unknown), (unknown), Shigeru Kiryu, Osamu Abe	2
8	Super-resolution Deep Learning Reconstruction for 3D Brain MR Imaging: Improvement of Cranial Nerve Depiction and Interobserver Agreement in Evaluations of Neurovascular Conflict 2024 ·Academic Radiology ·Koichiro Yasaka, (unknown), (unknown), Ryo Kurokawa, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	6
9	New liver window width in detecting hepatocellular carcinoma on dynamic contrast-enhanced computed tomography with deep learning reconstruction 2024 ·Radiological Physics and Technology ·(unknown), Koichiro Yasaka, (unknown), Saori Koshino, (unknown), (unknown), (unknown), (unknown), Yuichi Suzuki, Osamu Abe	0
10	Acceleration of knee magnetic resonance imaging using a combination of compressed sensing and commercially available deep learning reconstruction: a preliminary study 2023 ·BMC Medical Imaging ·Hiroyuki Akai, Koichiro Yasaka, (unknown), Taku Tajima, (unknown), Toshihiro Furuta, Masaaki Akahane, Naoki Yoshioka, Kuni Ohtomo, Osamu Abe, Shigeru Kiryu	12
11	Comparison of 1.5 T and 3 T magnetic resonance angiography for detecting cerebral aneurysms using deep learning-based computer-assisted detection software 2023 ·Neuroradiology ·Taku Tajima, Hiroyuki Akai, Koichiro Yasaka, Akira Kunimatsu, Naoki Yoshioka, Masaaki Akahane, Kuni Ohtomo, Osamu Abe, Shigeru Kiryu	4
12	Isolated relapse of plasma cell leukemia in the central nervous systems: a case report and literature review 2023 ·International Journal of Hematology ·(unknown), (unknown), (unknown), (unknown), Masako Ikemura, Koichiro Yasaka, Osamu Abe, Hirokazu Takami, Shunsaku Takayanagi, (unknown), (unknown), Yosuke Masamoto, Akiyoshi Miwa, Mineo Kurokawa	0
13	Accelerated Two‐Point Dixon MR Angiography Improves Diagnostic Performance for Cervical Artery Diseases 2022 ·Journal of Magnetic Resonance Imaging ·Shiori Amemiya, Naoyuki Takei, Tsuyoshi Ueyama, Keita Fujii, Hidemasa Takao, Koichiro Yasaka, Yusuke Watanabe, Kouhei Kamiya, Osamu Abe	1
14	Feasibility of accelerated whole-body diffusion-weighted imaging using a deep learning-based noise-reduction technique in patients with prostate cancer 2022 ·Magnetic Resonance Imaging ·Taku Tajima, Hiroyuki Akai, (unknown), Toshihiro Furuta, Koichiro Yasaka, Akira Kunimatsu, Naoki Yoshioka, Masaaki Akahane, Osamu Abe, Kuni Ohtomo, Shigeru Kiryu	14
15	Detectability of pancreatic lesions by low-dose unenhanced computed tomography using iterative reconstruction 2021 ·European Journal of Radiology ·(unknown), T. Yoshikawa, Akira Kunimatsu, Hiroyuki Akai, Koichiro Yasaka, Osamu Abe	1
16	Effects of Gadolinium Deposition in the Brain on Motor or Behavioral Function: A Mouse Model 2021 ·Radiology ·Hiroyuki Akai, Kazuya Miyagawa, Kohei Takahashi, Atsumi Mochida-Saito, Kazuhiro Kurokawa, (unknown), Minoru Tsuji, (unknown), Koichiro Yasaka, Akira Kunimatsu, Yusuke Inoue, Osamu Abe, Kuni Ohtomo, Shigeru Kiryu	15
17	Single-energy metal artifact reduction for helical computed tomography of the pelvis in patients with metal hip prostheses 2016 ·Japanese Journal of Radiology ·Koichiro Yasaka, Eriko Maeda, Shouhei Hanaoka, Masaki Katsura, Jiro Sato, Kuni Ohtomo	27
18	Metal artefact reduction for patients with metallic dental fillings in helical neck computed tomography: comparison of adaptive iterative dose reduction 3D (AIDR 3D), forward-projected model-based iterative reconstruction solution (FIRST) and AIDR 3D with single-energy metal artefact reduction (SEMAR) 2016 ·Dentomaxillofacial Radiology ·Koichiro Yasaka, Kouhei Kamiya, Ryusuke Irie, Eriko Maeda, Jiro Sato, Kuni Ohtomo	29
19	Dose-reduced CT with model-based iterative reconstruction in evaluations of hepatic steatosis: How low can we go? 2014 ·European Journal of Radiology ·Koichiro Yasaka, Masaki Katsura, Masaaki Akahane, Jiro Sato, Izuru Matsuda, Kuni Ohtomo	14
20	Comparison of pure and hybrid iterative reconstruction techniques with conventional filtered back projection: Image quality assessment in the cervicothoracic region 2012 ·European Journal of Radiology ·Masaki Katsura, Jiro Sato, Masaaki Akahane, Izuru Matsuda, Masanori Ishida, Koichiro Yasaka, Akira Kunimatsu, Kuni Ohtomo	48

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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