Kunio Doi

21.8k citations

595 papers · 16.3k indexed · 2 hit papers · h-index 59

Impact in

Radiology, Nuclear Medicine and Imaging top 0.05%
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
Pulmonary and Respiratory Medicine top 0.2%
- Lung Cancer Diagnosis and Treatment
- Digital Radiography and Breast Imaging

Papers in ⓘ

Radiology, Nuclear Medicine and Imaging 235
- Radiomics and Machine Learning in Medical Imaging 123
- Medical Imaging Techniques and Applications 54
- COVID-19 diagnosis using AI 48
- Radiation Dose and Imaging 32
Pulmonary and Respiratory Medicine 194
- Lung Cancer Diagnosis and Treatment 104
- Digital Radiography and Breast Imaging 65

Co-authors: Heber MacMahon (80 shared papers)Maryellen L. Giger (59 shared papers)Shigehiko Katsuragawa (70 shared papers)Feng Li (38 shared papers)Junji Shiraishi (55 shared papers)Shusuke Sone (18 shared papers)Qiang Li (34 shared papers)Koji Uetsuka (59 shared papers)
Journals: Medical Physics (81 papers)Experimental and Toxicologic Pathology (52 papers)EXPERIMENTAL ANIMALS (41 papers)Academic Radiology (31 papers)Radiology (26 papers)
Partner nations: Japan United States India

In The Last Decade

Kunio Doi

579 papers receiving 15.5k citations

Hit Papers

align trajectories log scale

Computer-aided diagnosis in medical imaging: Historical review, current status and future potential 2007 · 1.2k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2007 Computerized Medical Imaging and Graphics
2000 American Journal of Roentgenology

Peers

Countries citing papers authored by Kunio Doi

Since Specialization

Citations

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

Fields of papers citing papers by Kunio Doi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kunio Doi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kunio Doi Line = papers co-authored together Kunio Doi links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 595 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Computer-aided diagnosis in medical imaging: Historical review, current status and future potential Computerized Medical Imaging and Graphics ·Kunio Doi Hit paper breakdown →	2007	1228
2	Development of a Digital Image Database for Chest Radiographs With and Without a Lung Nodule American Journal of Roentgenology ·Junji Shiraishi, Shigehiko Katsuragawa, J Ikezoe, Tsuneo Matsumoto, Takeshi Kobayashi, Ken-ichi Komatsu, Mitate Matsui, Hiroshi Fujita, Yoshie Kodera, Kunio Doi Hit paper breakdown →	2000	660
3	Selective enhancement filters for nodules, vessels, and airway walls in two‐ and three‐dimensional CT scans Medical Physics ·Qiang Li, Shusuke Sone, Kunio Doi	2003	287
4	Computerized Detection of Pulmonary Nodules on CT Scans Radiographics ·Samuel G. Armato, Maryellen L. Giger, Catherine J. Moran, James T. Blackburn, Kunio Doi, Heber MacMahon	1999	282
5	Image feature analysis and computer-aided diagnosis in digital radiography. I. Automated detection of microcalcifications in mammography Medical Physics ·Heang‐Ping Chan, Kunio Doi, Simranjit Galhotra, Carl J. Vyborny, Heber MacMahon, Peter M. Jokich	1987	234
6	Lung Cancer: Performance of Automated Lung Nodule Detection Applied to Cancers Missed in a CT Screening Program Radiology ·Samuel G. Armato, Feng Li, Maryellen L. Giger, Heber MacMahon, Shusuke Sone, Kunio Doi	2002	212
7	Malignant versus Benign Nodules at CT Screening for Lung Cancer: Comparison of Thin-Section CT Findings Radiology ·Feng Li, Shusuke Sone, Hiroyuki Abé, Heber MacMahon, Kunio Doi	2004	201
8	Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low‐dose computed tomography Medical Physics ·Kenji Suzuki, Samuel G. Armato, Feng Li, Shusuke Sone, Kunio Doi	2003	198
9	Diagnostic imaging over the last 50 years: research and development in medical imaging science and technology Physics in Medicine and Biology ·Kunio Doi	2006	178
10	Image feature analysis and computer‐aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields Medical Physics ·Maryellen L. Giger, Kunio Doi, Heber MacMahon	1988	176
11	Quantitative Evaluation of Liver Function with Use of Gadoxetate Disodium–enhanced MR Imaging Radiology ·Akira Yamada, Takeshi Hara, Feng Li, Yasunari Fujinaga, K. Uéda, Masumi Kadoya, Kunio Doi	2011	169
12	Automatic detection of abnormalities in chest radiographs using local texture analysis IEEE Transactions on Medical Imaging ·Bram van Ginneken, Shigehiko Katsuragawa, Bart M. ter Haar Romeny, Kunio Doi, Max A. Viergever	2002	167
13	Computer-aided diagnosis in radiology: potential and pitfalls European Journal of Radiology ·Kunio Doi, Heber MacMahon, Shigehiko Katsuragawa, Robert M. Nishikawa, Yulei Jiang	1999	162
14	Involvement of Sex, Strain and Age Factors in High Fat Diet-Induced Obesity in C57BL/6J and BALB/cA Mice EXPERIMENTAL ANIMALS ·Satomi Nishikawa, Akira Yasoshima, Kunio Doi, Hiroyuki Nakayama, Koji Uetsuka	2007	162
15	Digital image subtraction of temporally sequential chest images for detection of interval change Medical Physics ·Akiko Kano, Kunio Doi, Heber MacMahon, Dayne D. Hassell, Maryellen L. Giger	1994	157
16	Lung Cancers Missed at Low-Dose Helical CT Screening in a General Population: Comparison of Clinical, Histopathologic, and Imaging Findings Radiology ·Feng Li, Shusuke Sone, Hiroyuki Abé, Heber MacMahon, Samuel G. Armato, Kunio Doi	2002	153
17	Computerized detection of masses in digital mammograms: Analysis of bilateral subtraction images Medical Physics ·F Yin, Maryellen L. Giger, Kunio Doi, Charles E. Metz, Carl J. Vyborny, Robert A. Schmidt	1991	146
18	Computer-Aided Diagnosis and Artificial Intelligence in Clinical Imaging Seminars in Nuclear Medicine ·Junji Shiraishi, Qiang Li, Daniel Appelbaum, Kunio Doi	2011	142
19	Mechanisms of Mycotoxin-Induced Neurotoxicity through Oxidative Stress-Associated Pathways International Journal of Molecular Sciences ·Kunio Doi, Koji Uetsuka	2011	136
20	Automated Hepatic Volumetry for Living Related Liver Transplantation At Multisection CT Radiology ·Yoshiharu Nakayama, Qiang Li, Shigehiko Katsuragawa, Ryuji Ikeda, Yasuhiro Hiai, Kazuo Awai, Shinichiro Kusunoki, Yasuyuki Yamashita, Hideaki Okajima, Yukihiro Inomata, Kunio Doi	2006	131

About Kunio Doi

Kunio Doi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Hepatology, Pharmacology and Artificial Intelligence, having authored 595 papers that have together received 16.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (123 papers), Lung Cancer Diagnosis and Treatment (104 papers), AI in cancer detection (99 papers), Digital Radiography and Breast Imaging (65 papers), Advanced X-ray and CT Imaging (54 papers), Medical Imaging Techniques and Applications (54 papers), COVID-19 diagnosis using AI (48 papers) and Radiation Dose and Imaging (32 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (8.2k citations), Pulmonary and Respiratory Medicine (5.6k citations), Health Informatics (230 citations), Artificial Intelligence (4.6k citations) and Computer Vision and Pattern Recognition (2.6k citations). Kunio Doi has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Heber MacMahon, Maryellen L. Giger, Shigehiko Katsuragawa, Feng Li, Junji Shiraishi, Shusuke Sone, Qiang Li, Koji Uetsuka, Hiroyuki Nakayama and Heang‐Ping Chan. Their work appears in journals such as Medical Physics, Experimental and Toxicologic Pathology, EXPERIMENTAL ANIMALS, Academic Radiology and Radiology.

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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