Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D ResUNet: Contribution to the SEG.A Challenge

24 October 2023

Papers citing "Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D ResUNet: Contribution to the SEG.A Challenge"

5 / 5 papers shown

Title
VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with LoRA and Atrous Attention Adnan Iltaf Rayan Merghani Ahmed Bin Li Bin Li Shoujun Zhou 55 0 0 25 Feb 2025
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat Fahad Shahbaz Khan Huazhu Fu ViT LM&MA MedIm 111 663 0 24 Jan 2022
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 144 427 0 09 Mar 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 337 10,633 0 19 Feb 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 375 75,888 0 18 May 2015