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O. Bernard

12 papers hereh-index 366.8k citations151 works total

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

author position
  • middle author8
  • last author4

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • eess.IV10
  • cs.CV1
  • physics.med-ph1
same name
  • O. Bernard — 11 papers, h 51
  • O. Bernard — 5 papers, h 30
  • O. Bernard — 1 paper, h 4
  • O. Bernard — 1 paper, 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

activity
20192023
most citedDeep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography

773 citations · 997 across the 12 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

eess.IV2023★ 12 cited

Phase Unwrapping of Color Doppler Echocardiography using Deep Learning

Hang Jung Ling, Olivier Bernard, Nicolas Ducros +1

Color Doppler echocardiography is a widely used non-invasive imaging modality that provides real-time information about the intracardiac blood flow. In an apical long-axis view of…

eess.IV2023

Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography

Jingfeng Lu, Fabien Millioz, François Varray +5

High-quality ultrafast ultrasound imaging is based on coherent compounding from multiple transmissions of plane waves (PW) or diverging waves (DW). However, compounding results in…

eess.IV2023

Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use?

Hang Jung Ling, Nathan Painchaud, Pierre-Yves Courand +3

Deep learning-based methods have spearheaded the automatic analysis of echocardiographic images, taking advantage of the publication of multiple open access datasets annotated by e…

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