Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging

28 November 2023

Papers citing "Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging"

7 / 7 papers shown

Title
Reference-Free 3D Reconstruction of Brain Dissection Photographs with Machine Learning Lin Tian Sean I. Young Jonathan Williams Ramirez Dina Zemlyanker Lucas Jacob Deden Binder ... Derek H. Oakley Bradley T. Hyman O. Puonti Matthew S. Rosen J. Iglesias 48 0 0 13 Mar 2025
Maximizing domain generalization in fetal brain tissue segmentation: the role of synthetic data generation, intensity clustering and real image fine-tuning Vladyslav Zalevskyi Thomas Sanchez Margaux Roulet Hélène Lajous Jordina Aviles Verdera Jana Hutter Hamza Kebiri Meritxell Bach Cuadra OOD 46 1 0 11 Nov 2024
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image Reconstruction Ziqi Gao Wendi Yang Yujia Li Lei Xing S. Kevin Zhou 43 0 0 31 Oct 2024
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation Aishik Konwer Xiaoling Hu Joseph Bae Xuanang Xu Chaoyu Chen Prateek Prasanna 24 16 0 08 Feb 2023
Learning Probabilistic Topological Representations Using Discrete Morse Theory Xiaoling Hu Dimitris Samaras Chao Chen 13 20 0 03 Jun 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 286 5,723 0 29 Apr 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 232 74,467 0 18 May 2015