Aoi Sukeda

Closest collaborators

The 25 strongest of 27 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

1. Motohiro Kojima · 2 shared papers, 2019–2021 · strength 0.20
   • Paper Expression of Monocarboxylate Transporter 1 Is Associated With Better Prognosis and Reduced Nodal Metastasis in Pancrea… DOI 10.1097/mpa.0000000000001369↗
   • Paper A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. DOI 10.1038/s41598-021-87748-0↗
2. Naoto Gotohda · 1 shared paper, 2019 · strength 0.11
   • Paper Expression of Monocarboxylate Transporter 1 Is Associated With Better Prognosis and Reduced Nodal Metastasis in Pancrea… DOI 10.1097/mpa.0000000000001369↗
3. Tetsuo Akimoto · 1 shared paper, 2019 · strength 0.11
   • Paper Expression of Monocarboxylate Transporter 1 Is Associated With Better Prognosis and Reduced Nodal Metastasis in Pancrea… DOI 10.1097/mpa.0000000000001369↗
4. Yasunori Nishida · 1 shared paper, 2019 · strength 0.11
   • Paper Expression of Monocarboxylate Transporter 1 Is Associated With Better Prognosis and Reduced Nodal Metastasis in Pancrea… DOI 10.1097/mpa.0000000000001369↗
5. Atsushi Ochiai · 1 shared paper, 2019 · strength 0.11
   • Paper Expression of Monocarboxylate Transporter 1 Is Associated With Better Prognosis and Reduced Nodal Metastasis in Pancrea… DOI 10.1097/mpa.0000000000001369↗
6. Yoshihiro Hamada · 1 shared paper, 2021 · strength 0.09
   • Paper A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. DOI 10.1038/s41598-021-87748-0↗
7. Yoshinobu Okabe · 1 shared paper, 2021 · strength 0.09
   • Paper A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. DOI 10.1038/s41598-021-87748-0↗
8. Yoshiki Naito · 1 shared paper, 2021 · strength 0.09
   • Paper A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. DOI 10.1038/s41598-021-87748-0↗
9. Kenji Notohara · 1 shared paper, 2021 · strength 0.09
   • Paper A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. DOI 10.1038/s41598-021-87748-0↗
10. Yoshinao Oda · 1 shared paper, 2021 · strength 0.09
    • Paper A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. DOI 10.1038/s41598-021-87748-0↗
11. Noriyoshi Fukushima · 1 shared paper, 2021 · strength 0.09
    • Paper A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. DOI 10.1038/s41598-021-87748-0↗
12. Kenichi Hirabayashi · 1 shared paper, 2021 · strength 0.09
    • Paper A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. DOI 10.1038/s41598-021-87748-0↗
13. Michiyo Higashi · 1 shared paper, 2021 · strength 0.09
    • Paper A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. DOI 10.1038/s41598-021-87748-0↗
14. Hirohisa Yano · 1 shared paper, 2021 · strength 0.09
    • Paper A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. DOI 10.1038/s41598-021-87748-0↗
15. Yuko Omori · 1 shared paper, 2021 · strength 0.09
    • Paper A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. DOI 10.1038/s41598-021-87748-0↗
16. Tomoko Norose · 1 shared paper, 2021 · strength 0.09
    • Paper A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. DOI 10.1038/s41598-021-87748-0↗
17. Jun Akiba · 1 shared paper, 2021 · strength 0.09
    • Paper A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. DOI 10.1038/s41598-021-87748-0↗
18. Toru Furukawa · 1 shared paper, 2021 · strength 0.09
    • Paper A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. DOI 10.1038/s41598-021-87748-0↗
19. Yoshinori Ino · 1 shared paper, 2016 · strength 0.05
    • Paper Macroscopic features predict outcome in patients with pancreatic ductal adenocarcinoma. DOI 10.1007/s00428-016-2026-6↗
20. Tomoo Kosuge · 1 shared paper, 2016 · strength 0.05
    • Paper Macroscopic features predict outcome in patients with pancreatic ductal adenocarcinoma. DOI 10.1007/s00428-016-2026-6↗
21. Yoji Kishi · 1 shared paper, 2016 · strength 0.05
    • Paper Macroscopic features predict outcome in patients with pancreatic ductal adenocarcinoma. DOI 10.1007/s00428-016-2026-6↗
22. Shutaro Hori · 1 shared paper, 2016 · strength 0.05
    • Paper Macroscopic features predict outcome in patients with pancreatic ductal adenocarcinoma. DOI 10.1007/s00428-016-2026-6↗
23. Kazuaki Shimada · 1 shared paper, 2016 · strength 0.05
    • Paper Macroscopic features predict outcome in patients with pancreatic ductal adenocarcinoma. DOI 10.1007/s00428-016-2026-6↗
24. Satoshi Nara · 1 shared paper, 2016 · strength 0.05
    • Paper Macroscopic features predict outcome in patients with pancreatic ductal adenocarcinoma. DOI 10.1007/s00428-016-2026-6↗
25. Nobuyoshi Hiraoka · 1 shared paper, 2016 · strength 0.05
    • Paper Macroscopic features predict outcome in patients with pancreatic ductal adenocarcinoma. DOI 10.1007/s00428-016-2026-6↗

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.