5 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation
Juan I. Pisula, Katarzyna Bozek
The first step in Multiple Instance Learning (MIL) algorithms for Whole Slide Image (WSI) classification consists of tiling the input image into smaller patches and computing their…
cs.CV2022★ 5 cited
Language models are good pathologists: using attention-based sequence reduction and text-pretrained transformers for efficient WSI classification
Juan I. Pisula, Katarzyna Bozek
In digital pathology, Whole Slide Image (WSI) analysis is usually formulated as a Multiple Instance Learning (MIL) problem. Although transformer-based architectures have been used…
eess.IV2020★ 5 cited
Noise Reduction to Compute Tissue Mineral Density and Trabecular Bone Volume Fraction from Low Resolution QCT
Felix Thomsen, José M. Fuertes García, Manuel Lucena +4
We propose a 3D neural network with specific loss functions for quantitative computed tomography (QCT) noise reduction to compute micro-structural parameters such as tissue mineral…