ResearcherTohoku UniversityActive in the last 2 years

Ruri Yamaguchi

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0001-9360-7706; OpenAlex author ID A5021230871. Sources: OpenAlex.

Their work

Papers: 2
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 9

Papers, trials and grants by year

2024: 2 papers

Papers 2

Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology. Co-author DOI 10.1038/s41598-024-67757-5 ↗
Machine Learning of Histopathological Images Predicts Recurrences of Resected Pancreatic Ductal Adenocarcinoma With Adjuvant Treatment. Co-author DOI 10.1097/mpa.0000000000002289 ↗

Closest collaborators

The 9 strongest of 9 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Takashi Kokumai · 2 shared papers, 2024 · strength 0.34
- Paper Machine Learning of Histopathological Images Predicts Recurrences of Resected Pancreatic Ductal Adenocarcinoma With Adj… DOI 10.1097/mpa.0000000000002289 ↗
- Paper Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology. DOI 10.1038/s41598-024-67757-5 ↗
Kei Nakagawa · 2 shared papers, 2024 · strength 0.34
- Paper Machine Learning of Histopathological Images Predicts Recurrences of Resected Pancreatic Ductal Adenocarcinoma With Adj… DOI 10.1097/mpa.0000000000002289 ↗
- Paper Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology. DOI 10.1038/s41598-024-67757-5 ↗
Masamichi Mizuma · 2 shared papers, 2024 · strength 0.34
- Paper Machine Learning of Histopathological Images Predicts Recurrences of Resected Pancreatic Ductal Adenocarcinoma With Adj… DOI 10.1097/mpa.0000000000002289 ↗
- Paper Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology. DOI 10.1038/s41598-024-67757-5 ↗
Aya Noguchi · 2 shared papers, 2024 · strength 0.34
- Paper Machine Learning of Histopathological Images Predicts Recurrences of Resected Pancreatic Ductal Adenocarcinoma With Adj… DOI 10.1097/mpa.0000000000002289 ↗
- Paper Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology. DOI 10.1038/s41598-024-67757-5 ↗
Michiaki Unno · 2 shared papers, 2024 · strength 0.34
- Paper Machine Learning of Histopathological Images Predicts Recurrences of Resected Pancreatic Ductal Adenocarcinoma With Adj… DOI 10.1097/mpa.0000000000002289 ↗
- Paper Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology. DOI 10.1038/s41598-024-67757-5 ↗
Toru Furukawa · 2 shared papers, 2024 · strength 0.34
- Paper Machine Learning of Histopathological Images Predicts Recurrences of Resected Pancreatic Ductal Adenocarcinoma With Adj… DOI 10.1097/mpa.0000000000002289 ↗
- Paper Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology. DOI 10.1038/s41598-024-67757-5 ↗
Shimpei Maeda · 1 shared paper, 2024 · strength 0.16
- Paper Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology. DOI 10.1038/s41598-024-67757-5 ↗
Kyohei Ariake · 1 shared paper, 2024 · strength 0.16
- Paper Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology. DOI 10.1038/s41598-024-67757-5 ↗
Daisuke Douchi · 1 shared paper, 2024 · strength 0.16
- Paper Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology. DOI 10.1038/s41598-024-67757-5 ↗

How to reach this person

A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.