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Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation

Autor: Pisula, Juan I., Bozek, Katarzyna

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 feature vectors produced by a pre-trained feature extractor model. Fe

Externí odkaz: http://arxiv.org/abs/2403.05325

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Language models are good pathologists: using attention-based sequence reduction and text-pretrained transformers for efficient WSI classification

Autor: Pisula, Juan I., Bozek, Katarzyna

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 for WSI classification, these methods require modifications to adapt t

Externí odkaz: http://arxiv.org/abs/2211.07384

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Akademický článek

Analyzing the Impact of Oncological Data at Different Time Points and Tumor Biomarkers on Artificial Intelligence Predictions for Five-Year Survival in Esophageal Cancer

Autor: Leandra Lukomski, Juan Pisula, Naita Wirsik, Alexander Damanakis, Jin-On Jung, Karl Knipper, Rabi Datta, Wolfgang Schröder, Florian Gebauer, Thomas Schmidt, Alexander Quaas, Katarzyna Bozek, Christiane Bruns, Felix Popp

Publikováno v: Machine Learning and Knowledge Extraction, Vol 6, Iss 1, Pp 679-698 (2024)

AIM: In this study, we use Artificial Intelligence (AI), including Machine (ML) and Deep Learning (DL), to predict the long-term survival of resectable esophageal cancer (EC) patients in a high-volume surgical center. Our objective is to evaluate the

Externí odkaz: https://doaj.org/article/4f05d3be182e4557b2b07f075ccd83bd

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Akademický článek

Animals in Search of Stimulation and Information: A Review of over 10 years of our Research on Spontaneous Exploration in Rats as a Response to Novelty in Low-Stress Paradigm

Autor: Wojciech Pisula, Klaudia Modlinska

Publikováno v: Animal Behavior and Cognition, Vol 10, Iss 4, Pp 287-303 (2023)

This article comprehensively reviews our studies that analyzed novelty-related behaviors in rats. We developed and utilized techniques and equipment during these studies to ensure our findings' high ecological validity. We allowed rats to explore a t

Externí odkaz: https://doaj.org/article/6e99b55989484325b4ca033fa93c46e9

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Noise Reduction to Compute Tissue Mineral Density and Trabecular Bone Volume Fraction from Low Resolution QCT

Autor: Thomsen, Felix, García, José M. Fuertes, Lucena, Manuel, Pisula, Juan, García, Rodrigo de Luis, Broggrefe, Jan, Delrieux, Claudio

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 density (TMD) and bone volume ratio (BV/TV) with significantly higher

Externí odkaz: http://arxiv.org/abs/2011.02382

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Akademický článek

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Akademický článek

Inorganic Semiconductors in Electronic Applications

Autor: Wojciech Pisula

Publikováno v: Electronic Materials, Vol 4, Iss 3, Pp 136-138 (2023)

Inorganic semiconductors have a wide range of applications in various fields, including electronics, optoelectronics, photovoltaics, and even catalysis [...]

Externí odkaz: https://doaj.org/article/87eaf68a768e4c6db5a18c695727b758

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