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S. Kondo

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
  • eess.IV1
same name
  • S. Kondo — 14 papers, h 16
  • S. Kondo — 6 papers, h 7
  • S. Kondo — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSurgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge

13 citations · 13 across the 2 of their papers we have counts for

collaborators

4 papers

eess.IV2021

Multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell Detection

Satoshi Kondo

This is a write-up of our method submitted to Mitosis Domain Generalization (MIDOG 2021) Challenge held in MICCAI2021 conference.

cs.LG2021

MIcro-Surgical Anastomose Workflow recognition challenge report

Arnaud Huaulmé, Duygu Sarikaya, Kévin Le Mut +12

The "MIcro-Surgical Anastomose Workflow recognition on training sessions" (MISAW) challenge provided a data set of 27 sequences of micro-surgical anastomosis on artificial blood ve…

cs.CV2021★ 13 cited

Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge

Aneeq Zia, Kiran Bhattacharyya, Xi Liu +10

Surgical data science is revolutionizing minimally invasive surgery by enabling context-aware applications. However, many challenges exist around surgical data (and health data, mo…

cs.CV2020

2018 Robotic Scene Segmentation Challenge

Max Allan, Satoshi Kondo, Sebastian Bodenstedt +38

In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward ki…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.