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Heatmap Regression for Lesion Detection using Pointwise Annotations

Heatmap Regression for Lesion Detection using Pointwise Annotations

11 August 2022
Chelsea Myers-Colet
Julien Schroeter
Douglas L. Arnold
Tal Arbel
ArXivPDFHTML

Papers citing "Heatmap Regression for Lesion Detection using Pointwise Annotations"

5 / 5 papers shown
Title
ToNNO: Tomographic Reconstruction of a Neural Network's Output for
  Weakly Supervised Segmentation of 3D Medical Images
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
Marius Schmidt-Mengin
Alexis Benichoux
S. Belachew
N. Komodakis
Nikos Paragios
MedIm
31
1
0
19 Apr 2024
Point detection through multi-instance deep heatmap regression for
  sutures in endoscopy
Point detection through multi-instance deep heatmap regression for sutures in endoscopy
Lalith Sharan
Gabriele Romano
Julian Brand
Halvar Kelm
M. Karck
R. de Simone
Sandy Engelhardt
30
10
0
16 Nov 2021
Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark
  Localization
Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization
Franz Thaler
Christian Payer
M. Urschler
Darko Štern
39
10
0
20 Sep 2021
Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks
Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks
Antonia Stern
Lalith Sharan
Gabriele Romano
Sven Koehler
M. Karck
R. de Simone
I. Wolf
Sandy Engelhardt
30
7
0
07 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1