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researcher

I. Takeuchi

65 papers hereh-index 293.1k citations148 works total

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

author position
  • middle author10
  • last author53

Across the 63 of 65 papers where every author was matched, so the position is known.

fields
  • stat.ML45
  • cond-mat.mtrl-sci7
  • cs.LG6
  • cs.CV3
  • stat.ME2
  • hep-th1
same name
  • I. Takeuchi — 55 papers, h 67
  • I. Takeuchi — 2 papers, h 5
  • I. Takeuchi — 2 papers, h 2
  • I. Takeuchi — 2 papers, h 4
  • I. Takeuchi — 2 papers, h 4
  • I. Takeuchi — 1 paper, h 2

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

activity
20102023
most citedHypothesis Learning in Automated Experiment: Application to Combinatorial Materials Libraries

75 citations · 459 across the 65 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2021★ 1 cited

Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learning

Noriaki Hashimoto, Yusuke Takagi, Hiroki Masuda +20

In the present study, we propose a novel case-based similar image retrieval (SIR) method for hematoxylin and eosin (H&E)-stained histopathological images of malignant lymphoma. Whe…

cs.CV2020★ 18 cited

Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images

Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga +7

We propose a new method for cancer subtype classification from histopathological images, which can automatically detect tumor-specific features in a given whole slide image (WSI).…

cs.CV2019★ 1 cited

Computing Valid p-values for Image Segmentation by Selective Inference

Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu +2

Image segmentation is one of the most fundamental tasks of computer vision. In many practical applications, it is essential to properly evaluate the reliability of individual segme…

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