Rethinking Ultrasound Augmentation: A Physics-Inspired Approach

Rethinking Ultrasound Augmentation: A Physics-Inspired Approach

5 May 2021

Christine Eilers

Magdalini Paschali

Mohammad Farid Azampour

Nassir Navab

Papers citing "Rethinking Ultrasound Augmentation: A Physics-Inspired Approach"

5 / 5 papers shown

Title
LOTUS: Learning to Optimize Task-based US representations Yordanka Velikova Mohammad Farid Azampour Walter Simson Vanessa Gonzalez Duque Nassir Navab MedIm 17 3 0 29 Jul 2023
Investigating Pulse-Echo Sound Speed Estimation in Breast Ultrasound with Deep Learning Walter Simson Magdalini Paschali Vasiliki Sideri-Lampretsa Nassir Navab J. Dahl OOD 23 15 0 06 Feb 2023
Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data Mane Margaryan Matthias Seibold Indu Joshi Mazda Farshad Philipp Fürnstahl Nassir Navab MedIm 24 2 0 05 Nov 2022
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound P. Wilson Mahdi Gilany A. Jamzad Fahimeh Fooladgar Minh-Son To Brian Wodlinger Purang Abolmaesumi P. Mousavi 42 12 0 01 Nov 2022
Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs M. Menten Johannes C. Paetzold Alina F. Dima Bjoern H. Menze B. Knier Daniel Rueckert 35 16 0 22 Jul 2022