Deep learning for biomedical photoacoustic imaging: A review

Deep learning for biomedical photoacoustic imaging: A review

5 November 2020

Melanie Schellenberg

Lena Maier-Hein

Papers citing "Deep learning for biomedical photoacoustic imaging: A review"

5 / 5 papers shown

Title
Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learning Ruibo Shang Geoffrey P. Luke Matthew O'Donnell UQCV 27 0 0 02 Jul 2024
A study of why we need to reassess full reference image quality assessment with medical images Anna Breger A. Biguri Malena Sabaté Landman Ian Selby Nicole Amberg ... Lipeng Ning Sören Dittmer Michael Roberts AIX-COVNET Collaboration Carola-Bibiane Schönlieb 37 5 0 29 May 2024
Semantic segmentation of multispectral photoacoustic images using deep learning Melanie Schellenberg Kris K. Dreher Niklas Holzwarth Fabian Isensee Annika Reinke Nicholas Schreck A. Seitel M. Tizabi Lena Maier-Hein J. Gröhl 22 32 0 20 May 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015