Soichiro Miki

990 total citations
51 papers, 659 citations indexed

About

Soichiro Miki is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Soichiro Miki has authored 51 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Artificial Intelligence and 12 papers in Biomedical Engineering. Recurrent topics in Soichiro Miki's work include Radiomics and Machine Learning in Medical Imaging (17 papers), AI in cancer detection (11 papers) and Medical Image Segmentation Techniques (10 papers). Soichiro Miki is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), AI in cancer detection (11 papers) and Medical Image Segmentation Techniques (10 papers). Soichiro Miki collaborates with scholars based in Japan, India and China. Soichiro Miki's co-authors include T. Yoshikawa, Yukihiro Nomura, Shouhei Hanaoka, Naoto Hayashi, Osamu Abe, Mitsutaka Nemoto, Takahiro Nakao, Yoshitaka Masutani, Kuni Ohtomo and Issei Sato and has published in prestigious journals such as Radiology, American Journal of Neuroradiology and Journal of Magnetic Resonance Imaging.

In The Last Decade

Soichiro Miki

43 papers receiving 651 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Soichiro Miki Japan	14	323	203	154	152	94	51	659
Myeongchan Kim South Korea	8	299 0.9×	116 0.6×	88 0.6×	176 1.2×	97 1.0×	13	587
Akitoshi Shimazaki Japan	12	302 0.9×	202 1.0×	95 0.6×	105 0.7×	164 1.7×	13	625
Takahiro Nakao Japan	10	219 0.7×	112 0.6×	105 0.7×	107 0.7×	44 0.5×	34	460
Swetha Tanamala United States	5	283 0.9×	74 0.4×	169 1.1×	185 1.2×	118 1.3×	8	662
Sasank Chilamkurthy United States	4	268 0.8×	69 0.3×	176 1.1×	184 1.2×	128 1.4×	6	663
Nathaniel Swinburne United States	10	223 0.7×	114 0.6×	52 0.3×	113 0.7×	70 0.7×	18	512
Vasantha Kumar Venugopal India	7	325 1.0×	81 0.4×	170 1.1×	227 1.5×	127 1.4×	23	785
Barbaros S. Erdal United States	13	281 0.9×	188 0.9×	49 0.3×	127 0.8×	113 1.2×	30	603
Hiroyuki Sugimori Japan	14	356 1.1×	126 0.6×	122 0.8×	55 0.4×	147 1.6×	93	767
Nazanin Esmaili Australia	11	266 0.8×	80 0.4×	60 0.4×	130 0.9×	99 1.1×	26	583

Countries citing papers authored by Soichiro Miki

Since Specialization

Citations

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

Fields of papers citing papers by Soichiro Miki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soichiro Miki

This figure shows the co-authorship network connecting the top 25 collaborators of Soichiro Miki. A scholar is included among the top collaborators of Soichiro Miki 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 Soichiro Miki. Soichiro Miki 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

Nakamura, Yuta, Tomohiro Kikuchi, Takahiro Nakao, et al.. (2024). It is Not Time to Kick Out Radiologists. Asian Bioethics Review. 17(1). 9–15.

Hanaoka, Shouhei, Takahiro Nakao, Soichiro Miki, et al.. (2024). GPT-4 Turbo with Vision fails to outperform text-only GPT-4 Turbo in the Japan Diagnostic Radiology Board Examination. Japanese Journal of Radiology. 42(8). 918–926. 24 indexed citations

Nomura, Yukihiro, Shouhei Hanaoka, Takahiro Nakao, et al.. (2021). Performance changes due to differences in training data for cerebral aneurysm detection in head MR angiography images. Japanese Journal of Radiology. 39(11). 1039–1048. 8 indexed citations

Nomura, Yukihiro, Shouhei Hanaoka, Takahiro Nakao, et al.. (2021). Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning. International Journal of Computer Assisted Radiology and Surgery. 16(11). 1901–1913. 6 indexed citations

Hanaoka, Shouhei, Yukihiro Nomura, Takahiro Nakao, et al.. (2021). Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI. International Journal of Computer Assisted Radiology and Surgery. 16(9). 1527–1536. 12 indexed citations

Miki, Soichiro, Takahiro Nakao, Yukihiro Nomura, et al.. (2021). Computer-aided detection of cerebral aneurysms with magnetic resonance angiography: usefulness of volume rendering to display lesion candidates. Japanese Journal of Radiology. 39(7). 652–658. 4 indexed citations

Nakamura, Yuta, Shouhei Hanaoka, Yukihiro Nomura, et al.. (2021). Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers. BMC Medical Informatics and Decision Making. 21(1). 262–262. 26 indexed citations

Miki, Soichiro, Yukihiro Nomura, Naoto Hayashi, et al.. (2020). Prospective Study of Spatial Distribution of Missed Lung Nodules by Readers in CT Lung Screening Using Computer-assisted Detection. Academic Radiology. 28(5). 647–654. 6 indexed citations

Nomura, Yukihiro, Soichiro Miki, Naoto Hayashi, et al.. (2020). Novel platform for development, training, and validation of computer-assisted detection/diagnosis software. International Journal of Computer Assisted Radiology and Surgery. 15(4). 661–672. 13 indexed citations

10.

Hanaoka, Shouhei, Yukihiro Nomura, Masaki Murata, et al.. (2019). HoTPiG: a novel graph-based 3-D image feature set and its applications to computer-assisted detection of cerebral aneurysms and lung nodules. International Journal of Computer Assisted Radiology and Surgery. 14(12). 2095–2107. 11 indexed citations

11.

Nomura, Yukihiro, Naoto Hayashi, Shouhei Hanaoka, et al.. (2018). Can the spherical gold standards be used as an alternative to painted gold standards for the computerized detection of lesions using voxel-based classification?. Japanese Journal of Radiology. 37(3). 264–273. 5 indexed citations

12.

Miki, Soichiro, Naoto Hayashi, Yoshitaka Masutani, et al.. (2016). Computer-Assisted Detection of Cerebral Aneurysms in MR Angiography in a Routine Image-Reading Environment: Effects on Diagnosis by Radiologists. American Journal of Neuroradiology. 37(6). 1038–1043. 37 indexed citations

13.

Hanaoka, Shouhei, Akinobu Shimizu, Mitsutaka Nemoto, et al.. (2016). Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization. Medical Image Analysis. 35. 192–214. 15 indexed citations

14.

Hanaoka, Shouhei, Yoshitaka Masutani, Mitsutaka Nemoto, et al.. (2016). Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images. International Journal of Computer Assisted Radiology and Surgery. 12(3). 413–430. 11 indexed citations

15.

Nakashima, Ryoichi, Eriko Maeda, T. Yoshikawa, et al.. (2014). The effect of expert knowledge on medical search: medical experts have specialized abilities for detecting serious lesions. Psychological Research. 79(5). 729–738. 12 indexed citations

16.

Nemoto, Mitsutaka, Yoshitaka Masutani, Shouhei Hanaoka, et al.. (2013). Performance Improvement in Anatomical Landmark Detection by a New Parameter Optimization Technique : Parameterization of Labeling Criterion for a Training Samples and Use of Novel Evaluation Function. 96(4). 853–866. 1 indexed citations

17.

Hanaoka, Shouhei, Yoshitaka Masutani, Mitsutaka Nemoto, et al.. (2012). Automatic detection method for anatomical landmarks on the soft tissue in enhanced abdominal CT volumes. IEICE technical report. Speech. 112(200). 7–12.

18.

Nomura, Yukihiro, Mitsutaka Nemoto, Yoshitaka Masutani, et al.. (2011). Study of input voxel size on voxel-based classifier for lesion detection. IEICE technical report. Speech. 111(199). 7–10. 4 indexed citations

19.

Miki, Soichiro, Kensaku Mori, Masanari Shiigai, et al.. (2009). Hemosuccus Pancreaticus in a Patient with Iodine Allergy: Successful Diagnosis with Magnetic Resonance Imaging and Treatment with Transarterial Embolization Using Carbon Dioxide as the Contrast Medium. CardioVascular and Interventional Radiology. 32(6). 1296–1299. 4 indexed citations

20.

Okamoto, Yoshikazu, et al.. (2008). Fractional Anisotropy Values of Calf Muscles in Normative State after Exercise: Preliminary Results. Magnetic Resonance in Medical Sciences. 7(3). 157–162. 22 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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