Deep Learning in Photoacoustic Tomography: Current approaches and future directions

16 September 2020

Papers citing "Deep Learning in Photoacoustic Tomography: Current approaches and future directions"

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
Cross-domain Self-supervised Framework for Photoacoustic Computed Tomography Image Reconstruction Hengrong Lan Lijie Huang Zhiqiang Li Jing Lv Jianwen Luo ViT OOD 24 1 0 17 Jan 2023
Deep Bayesian inference for seismic imaging with tasks Ali Siahkoohi G. Rizzuti Felix J. Herrmann BDL UQCV 35 21 0 10 Oct 2021
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
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015