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 13 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 13 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 Nguyen Nhat 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 19 15 0 22 Jul 2022