Optical Flow Based Approach for Automatic Cardiac Cycle Estimation in Ultrasound Images of the Carotid. - Teresa Araujo; Guilherme Aresta; José Rouco; Carmen Ferreira; Elsa Azevedo; Aurélio J. C. Campilho (ICIAR, 2015)

Improving Convolutional Neural Network Design via Variable Neighborhood Search. - Teresa Araujo; Guilherme Aresta; Bernardo Almada-Lobo; Ana Maria Mendonça; Aurélio J. C. Campilho (ICIAR, 2017)

Detection of juxta-pleural lung nodules in computed tomography images. - Guilherme Aresta; António Cunha; Aurélio Campilho (Computer-Aided Diagnosis, 2017)

Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis. - Adrian Galdran; Aitor Alvarez-Gila; Maria Inês Meyer; Cristina López Saratxaga; Teresa Araujo; Estíbaliz Garrote; Guilherme Aresta; Pedro Costa 005; Ana Maria Mendonça; Aurélio J. C. Campilho (CoRR, 2017)

Radiologists' Gaze Characterization During Lung Nodule Search in Thoracic CT. - Marlene Machado; Guilherme Aresta; Patrícia Leitão; André Silva Carvalho; Márcio Rodrigues; Isabel Ramos; António Cunha; Aurélio J. C. Campilho (ICGI, 2018)

UOLO - Automatic Object Detection and Segmentation in Biomedical Images. - Teresa Araújo; Guilherme Aresta; Adrian Galdran; Pedro Costa 005; Ana Maria Mendonça; Aurélio Campilho (DLMIA/ML-CDS@MICCAI, 2018)

Towards an Automatic Lung Cancer Screening System in Low Dose Computed Tomography. - Guilherme Aresta; Teresa Araújo; Colin Jacobs; Bram van Ginneken; António Cunha; Isabel Ramos; Aurélio Campilho (RAMBO+BIA+TIA@MICCAI, 2018)

BACH: Grand Challenge on Breast Cancer Histology Images. - Guilherme Aresta; Teresa Araújo; Scotty Kwok; Sai Saketh Chennamsetty; Mohammed Safwan K. P.; Alex Varghese; Bahram Marami; Marcel Prastawa; Monica Chan; Michael J. Donovan; Gerardo Fernandez; Jack Zeineh; et al. (CoRR, 2018)

iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. - Guilherme Aresta; Colin Jacobs; Teresa Araújo; António Cunha; Isabel Ramos; Bram van Ginneken; Aurélio Campilho (CoRR, 2018)

EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection. - Pedro Costa 005; Teresa Araújo; Guilherme Aresta; Adrian Galdran; Ana Maria Mendonça; Asim Smailagic; Aurélio Campilho (MVA, 2019)

Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance. - Guilherme Aresta; Carlos A. Ferreira; João Pedrosa; Teresa Araújo; João Rebelo; Eduardo Negrão; Margarida Morgado; Filipe Alves; António Cunha; Isabel Ramos; Aurélio Campilho (CoRR, 2019)

LNDb: A Lung Nodule Database on Computed Tomography. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (CoRR, 2019)

An unsupervised metaheuristic search approach for segmentation and volume measurement of pulmonary nodules in lung CT scans. - Elham Shakibapour; António Cunha; Guilherme Aresta; Ana Maria Mendonça; Aurélio Campilho (Expert Syst. Appl., 2019)

BACH: Grand challenge on breast cancer histology images. - Guilherme Aresta; Teresa Araújo; Scotty Kwok; Sai Saketh Chennamsetty; Mohammed Safwan K. P.; Alex Varghese; Bahram Marami; Marcel Prastawa; Monica Chan; Michael J. Donovan; Gerardo Fernandez; Jack Zeineh; et al. (Medical Image Anal., 2019)

Classification of Lung Nodules in CT Volumes Using the Lung-RADS™ Guidelines with Uncertainty Parameterization. - Carlos A. Ferreira; Guilherme Aresta; João Pedrosa; João Rebelo; Eduardo Negrão; António Cunha; Isabel Ramos; Aurélio Campilho (ISBI, 2020)

Data Augmentation for Improving Proliferative Diabetic Retinopathy Detection in Eye Fundus Images. - Teresa Araújo; Guilherme Aresta; Luís Mendonça; Susana Penas; Carolina Maia; Ângela Carneiro; Ana Maria Mendonça; Aurélio Campilho (IEEE Access, 2020)

DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images. - Teresa Araújo; Guilherme Aresta; Luís Mendonça; Susana Penas; Carolina Maia; Ângela Carneiro; Ana Maria Mendonça; Aurélio Campilho (Medical Image Anal., 2020)

Automatic Lung Nodule Detection Combined With Gaze Information Improves Radiologists' Screening Performance. - Guilherme Aresta; Carlos A. Ferreira; João Pedrosa; Teresa Araújo; João Rebelo; Eduardo Negrão; Margarida Morgado; Filipe Alves; António Cunha; Isabel Ramos; Aurélio Campilho (IEEE J. Biomed. Health Informatics, 2020)

LNDb Dataset. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (Zenodo, 2020)

HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization. - Eduardo Conde-Sousa; João Vale; Ming Feng; Kele Xu; Yin Wang; Vincenzo Della Mea; David La Barbera; Ehsan Montahaei; Mahdieh Soleymani Baghshah; Andreas Turzynski; Jacob Gildenblat; Eldad Klaiman; et al. (CoRR, 2021)

LNDb challenge on automatic lung cancer patient management. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Gurraj Atwal; Hady Ahmady Phoulady; Xiaoyu Chen; Rongzhen Chen; Jiaoliang Li; Liansheng Wang; Adrian Galdran; Hamid Bouchachia; Krishna Chaitanya Kaluva; et al. (Medical Image Anal., 2021)

Detection of lung nodules in computed tomography images - Guilherme Aresta (2021)

Automatic Label Detection in Chest Radiography Images. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Ana Maria Mendonça; Aurélio Campilho (BIOIMAGING, 2022)

SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors. - Botond Fazekas; Guilherme Aresta; Dmitry A. Lachinov; Sophie Riedl; Julia Mai; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (8), 2022)

Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening. - Teresa Araújo; Guilherme Aresta; Hrvoje Bogunovic (CoRR, 2022)

HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin-Eosin Whole-Slide Imaging. - Eduardo Conde-Sousa; João Vale; Ming Feng; Kele Xu; Yin Wang; Vincenzo Della Mea; David La Barbera; Ehsan Montahaei; Mahdieh Soleymani Baghshah; Andreas Turzynski; Jacob Gildenblat; Eldad Klaiman; et al. (J. Imaging, 2022)

LNDb Dataset. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (Zenodo, 2022)

LNDb Dataset. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (Zenodo, 2022)

Adapting Segment Anything Model (SAM) for Retinal OCT. - Botond Fazekas; José Morano; Dmitry A. Lachinov; Guilherme Aresta; Hrvoje Bogunovic (OMIA@MICCAI, 2023)

Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation. - José Morano; Guilherme Aresta; Dmitry A. Lachinov; Julia Mai; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (4), 2023)

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (CoRR, 2023)

SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT. - Botond Fazekas; José Morano; Dmitrii A. Lachinov; Guilherme Aresta; Hrvoje Bogunovic (CoRR, 2023)

Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty Quantification. - Botond Fazekas; Dmitry A. Lachinov; Guilherme Aresta; Julia Mai; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (IEEE J. Biomed. Health Informatics, 2023)

LNDb Dataset. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Márcio Rodrigues; Patrícia Leitão; André Silva Carvalho; João Rebelo; Eduardo Negrão; Isabel Ramos; António Cunha; Aurélio Campilho (Zenodo, 2023)

Automatic Detection and Prediction of nAMD Activity Change in Retinal OCT Using Siamese Networks and Wasserstein Distance for Ordinality. - Taha Emre; Teresa Araújo; Marzieh Oghbaie; Dmitrii A. Lachinov; Guilherme Aresta; Hrvoje Bogunovic (DIAMOND/MARIO@MICCAI, 2024)

Comparative Analysis of Data Augmentation for Retinal OCT Biomarker Segmentation. - Markus Unterdechler; Botond Fazekas; Guilherme Aresta; Hrvoje Bogunovic (OMIA@MICCAI, 2024)

Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps. - Guilherme Aresta; Teresa Araújo; Botond Fazekas; Julia Mai; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (IEEE Access, 2024)

RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification. - José Morano; Guilherme Aresta; Hrvoje Bogunovic (Expert Syst. Appl., 2024)

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (IEEE Trans. Medical Imaging, 2024)

Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks. - José Morano; Guilherme Aresta; Christoph Grechenig; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (IEEE J. Biomed. Health Informatics, 2024)

SD-LayerNet: Robust and label-efficient retinal layer segmentation via anatomical priors. - Botond Fazekas; Guilherme Aresta; Dmitry A. Lachinov; Sophie Riedl; Julia Mai; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (Comput. Methods Programs Biomed., 2025)