Pathology Foundation Models Are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss

2026 | book-chapter

Data from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Figure 1 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Figure 2 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Figure 3 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Supplementary Figure S1 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Supplementary Figure S2 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Supplementary Figure S3 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Supplementary Figure S4 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Supplementary Figure S5 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Supplementary Figure S6 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Supplementary Figure S7 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Supplementary Figure S8 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Supplementary Materials & Methods from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Supplementary Table S1 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Table 1 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Table 2 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Table 3 from Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

2025 | preprint

Deep Learning Predicts EGFR Mutation Status from Histology Images in Non–Small Cell Lung Cancer

Cancer Research Communications

2025 | journal-article

Data from A Phase II Study of Nivolumab plus Gemcitabine in Patients with Recurrent or Metastatic Nasopharyngeal Carcinoma (KCSG HN17–11)

2023 | preprint

Data from A Phase II Study of Nivolumab plus Gemcitabine in Patients with Recurrent or Metastatic Nasopharyngeal Carcinoma (KCSG HN17–11)

2023 | preprint

Supplementary Data from A Phase II Study of Nivolumab plus Gemcitabine in Patients with Recurrent or Metastatic Nasopharyngeal Carcinoma (KCSG HN17–11)

2023 | preprint

Supplementary Data from A Phase II Study of Nivolumab plus Gemcitabine in Patients with Recurrent or Metastatic Nasopharyngeal Carcinoma (KCSG HN17–11)

2023 | preprint

Supplementary Data from A Phase II Study of Nivolumab plus Gemcitabine in Patients with Recurrent or Metastatic Nasopharyngeal Carcinoma (KCSG HN17–11)

2023 | preprint

Supplementary Data from A Phase II Study of Nivolumab plus Gemcitabine in Patients with Recurrent or Metastatic Nasopharyngeal Carcinoma (KCSG HN17–11)

2023 | preprint

Benchmarking Self-Supervised Learning on Diverse Pathology Datasets

2023 | conference-paper

Deep learning model improves tumor-infiltrating lymphocyte evaluation and therapeutic response prediction in breast cancer

npj Breast Cancer

2023 | journal-article

OCELOT: Overlapped Cell on Tissue Dataset for Histopathology

2023 | conference-paper

Variability Matters: Evaluating Inter-Rater Variability in Histopathology for Robust Cell Detection

2023 | book-chapter

A Phase II Study of Nivolumab plus Gemcitabine in Patients with Recurrent or Metastatic Nasopharyngeal Carcinoma (KCSG HN17–11)

Clinical Cancer Research

2022 | journal-article

Artificial Intelligence-Powered Spatial Analysis of Tumor-Infiltrating Lymphocytes as Complementary Biomarker for Immune Checkpoint Inhibition in Non-Small-Cell Lung Cancer

Journal of Clinical Oncology

2022 | journal-article

Artificial Intelligence-Powered Whole-Slide Image Analyzer Reveals a Distinctive Distribution of Tumor-Infiltrating Lymphocytes in Neuroendocrine Neoplasms

Diagnostics

2022 | journal-article

Artificial intelligence–powered programmed death ligand 1 analyser reduces interobserver variation in tumour proportion score for non–small cell lung cancer with better prediction of immunotherapy response

European Journal of Cancer

2022 | journal-article

Interactive Multi-Class Tiny-Object Detection

2022 | conference-paper

Combining unsupervised and supervised learning for predicting the final stroke lesion

Medical Image Analysis

2021 | journal-article

Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation

2021 | book

On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities

Radiology: Artificial Intelligence

2020 | journal-article

Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks

IEEE Transactions on Medical Imaging

2019 | journal-article

Segmentation squeeze-and-excitation blocks in stroke lesion outcome prediction

2019 | conference-paper

Retinal vessel segmentation based on Fully Convolutional Neural Networks

Expert Systems with Applications

2018 | journal-article

A low-cost automatic fall prevention system for inpatients

2018 | conference-paper

Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI

2018 | book

Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment

2018 | book

Enhancing clinical MRI perfusion maps with data-driven maps of complementary nature for lesion outcome prediction

2018 | book

Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation

Medical Image Analysis

2018 | journal-article

Hierarchical brain tumour segmentation using extremely randomized trees

Pattern Recognition

2018 | journal-article

iMIMIC 2018 preface

2018 | book

Augmenting data when training a CNN for retinal vessel segmentation: How to warp?

2017 | conference-paper

Modelling brain tissues intensities using dirichlet process

2017 | conference-paper

Multi-surface segmentation of OCT images with AMD using sparse high order potentials

Biomedical Optics Express

2017 | journal-article

On hierarchical brain tumor segmentation in MRI using fully convolutional neural networks: A preliminary study

2017 | conference-paper

Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields

Journal of Neuroscience Methods

2016 | journal-article

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

IEEE Transactions on Medical Imaging

2016 | journal-article

Deep convolutional neural networks for the segmentation of gliomas in multi-sequence MRI

2016 | book

A fully automatic tool for counting Virchow-Robin Spaces in magnetic resonance imaging for lacunar stroke study

2015 | conference-paper

Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features

2015 | conference-paper

Crime prediction using regression and resources optimization

2015 | book

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans

Computational Intelligence and Neuroscience

2015 | journal-article

Random decision forests for automatic brain tumor segmentation on multi-modal MRI images

2015 | conference-paper

Sparse high order potentials for extending multi-surface segmentation of OCT images with drusen

2015 | conference-paper

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

IEEE Transactions on Medical Imaging

2015 | journal-article

A middleware for intelligent environments in ambient assisted living

2014 | conference-paper

Optical Filter for Providing the Required Illumination to Enable Narrow Band Imaging

Procedia Engineering

2014 | journal-article

Automatic Brain Tissue Segmentation of Multi-sequence MR images using Random Decision Forests

Grand Challenge on MR Brain Image Segmentation workshop - MICCAI

2013 | conference-paper

Automatic brain tumor segmentation of multi-sequence mr images using random decision forests

Proceedings of NCI-MICCAI BRATS

2013 | conference-paper

Deteção automática de Espaços de Virchow-Robin em imagens de ressonância magnética

University of Minho

2013 | dissertation-thesis