Yuki Shimahara
Yuki Shimahara publishes mostly in Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine, on topics such as Radiomics and Machine Learning in Medical Imaging, COVID-19 diagnosis using AI and Cerebrovascular and Carotid Artery Diseases.
- World rank
- #2,029,816 of 7,710,434 ranked researchers
- Rank in Japan
- #37,160 of 383,136
- Works
- 23
- Citations
- 825
- Citations per work
- 35.9
What does Yuki Shimahara research?
Yuki Shimahara's work is mostly in Medicine (56%), Computer Science (14%), Biochemistry, Genetics and Molecular Biology (11%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Health Sciences1356.1%
- Medicine1356.1%
- Everything else519.7%
- Physical Sciences313.6%
- Computer Science313.6%
- Life Sciences210.6%
- 1Radiology, Nuclear Medicine and Imaging30% of their works
- 2Artificial Intelligence14% of their works
- 3Pulmonary and Respiratory Medicine12% of their works
- 4Molecular Biology11% of their works
- 5Neurology8% of their works
- 6Oncology6% of their works
Research topics
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Cerebrovascular and Carotid Artery Diseases
- AI in cancer detection
- Intracranial Aneurysms: Treatment and Complications
- Colorectal Cancer Screening and Detection
- Lung Cancer Diagnosis and Treatment
- Advanced MRI Techniques and Applications
Which keywords describe Yuki Shimahara's research?
The keywords of their largest research topics: Medical Imaging, Deep Learning, Machine Learning, Convolutional Neural Networks, Magnetic Resonance Imaging, Quantitative Analysis, Radiomics and Chest X-Ray.
- Screening
- Medical Image Analysis
- Intracranial Aneurysms
- Colorectal Cancer
- Aneurysmal Subarachnoid Hemorrhage
- Carotid Artery Stenosis
- COVID-19
- Quantitative Analysis
- Convolutional Neural Networks
- Deep Learning
- Medical Imaging
- Machine Learning
- Magnetic Resonance Imaging
- Radiomics
- Chest X-Ray
- Endarterectomy
- CT Screening
- Histopathology Images
- Lung Cancer
- Perfusion Imaging
- Spectroscopy
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 21 words, with their numbers
- Medical Imaging132 topics
- Deep Learning123 topics
- Machine Learning102 topics
- Convolutional Neural Networks92 topics
- Magnetic Resonance Imaging72 topics
- Quantitative Analysis71 topic
- Radiomics71 topic
- COVID-1961 topic
- Chest X-Ray61 topic
- Carotid Artery Stenosis41 topic
- Endarterectomy41 topic
- Aneurysmal Subarachnoid Hemorrhage31 topic
- CT Screening31 topic
- Colorectal Cancer31 topic
- Histopathology Images31 topic
- Intracranial Aneurysms31 topic
- Lung Cancer31 topic
- Medical Image Analysis31 topic
- Perfusion Imaging31 topic
- Screening31 topic
- Spectroscopy31 topic
Where does Yuki Shimahara work?
Yuki Shimahara's main affiliation in the publication record is The University of Tokyo, Japan.
How many publications and citations does Yuki Shimahara have?
OpenAlex counts 23 works and 825 citations for Yuki Shimahara, an h-index of 9, ranking #2,029,816 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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