DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading

19 April 2024

Papers citing "DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading"

5 / 5 papers shown

Title
Generative Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges Yuan Zhang Xinfeng Zhang Xiaoming Qi Xinyu Wu Feng Chen Guanyu Yang Huazhu Fu MedIm LM&MA AI4CE 22 0 0 16 May 2025
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,775 0 29 Apr 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,371 0 09 Mar 2020
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 278 404 0 09 Apr 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 294 75,800 0 18 May 2015