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Daniel Racoceanu

Sorbonne University

3 papers hereh-index 247k citations150 works total

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

author position
  • middle author1
  • last author2

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

fields
  • cs.CV2
  • cs.IR1
affiliations
  • Sorbonne University
Homepage

identity via Semantic Scholar / OpenAlex

activity
20082018
most citedProspective Study for Semantic Inter-Media Fusion in Content-Based Medical Image Retrieval

9 citations · 11 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2018

eXclusive Autoencoder (XAE) for Nucleus Detection and Classification on Hematoxylin and Eosin (H&E) Stained Histopathological Images

Chao-Hui Huang, Daniel Racoceanu

In this paper, we introduced a novel feature extraction approach, named exclusive autoencoder (XAE), which is a supervised version of autoencoder (AE), able to largely improve the…

cs.CV2013★ 2 cited

Multispectral Spatial Characterization: Application to Mitosis Detection in Breast Cancer Histopathology

H. Irshad, A. Gouaillard, L. Roux +1

Accurate detection of mitosis plays a critical role in breast cancer histopathology. Manual detection and counting of mitosis is tedious and subject to considerable inter- and intr…

cs.IR2008★ 9 cited

Prospective Study for Semantic Inter-Media Fusion in Content-Based Medical Image Retrieval

Roxana Teodorescu, Daniel Racoceanu, Wee-Kheng Leow +1

One important challenge in modern Content-Based Medical Image Retrieval (CBMIR) approaches is represented by the semantic gap, related to the complexity of the medical knowledge. A…

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