Guilherme Aresta | DeepAI

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∙ 08/18/2023

SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT

The Segment Anything Model (SAM) has gained significant attention in the...

0 Botond Fazekas, et al. ∙

∙ 07/06/2023

Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation

Deep learning has become a valuable tool for the automation of certain m...

0 José Morano, et al. ∙

∙ 10/26/2022

Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification

Bruch's membrane (BM) segmentation on optical coherence tomography (OCT)...

0 Botond Fazekas, et al. ∙

∙ 07/01/2022

SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors

Optical coherence tomography (OCT) is a non-invasive 3D modality widely ...

0 Botond Fazekas, et al. ∙

∙ 02/25/2022

Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening

The development of automatic tools for early glaucoma diagnosis with col...

0 Teresa Araújo, et al. ∙

∙ 11/08/2021

HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization

Breast cancer is the most common malignancy in women, being responsible ...

10 Eduardo Conde-Sousa, et al. ∙

∙ 11/19/2019

LNDb: A Lung Nodule Database on Computed Tomography

Lung cancer is the deadliest type of cancer worldwide and late detection...

0 João Pedrosa, et al. ∙

∙ 10/25/2019

DR|GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images

Diabetic retinopathy (DR) grading is crucial in determining the patients...

8 Teresa Araújo, et al. ∙

∙ 10/09/2019

Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance

Early diagnosis of lung cancer via computed tomography can significantly...

4 Guilherme Aresta, et al. ∙

∙ 11/30/2018

iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network

We propose iW-Net, a deep learning model that allows for both automatic ...

8 Guilherme Aresta, et al. ∙

∙ 10/09/2018

UOLO - automatic object detection and segmentation in biomedical images

We propose UOLO, a novel framework for the simultaneous detection and se...

0 Teresa Araújo, et al. ∙

∙ 08/13/2018

BACH: Grand Challenge on Breast Cancer Histology Images

Breast cancer is the most common invasive cancer in women, affecting mor...

10 Guilherme Aresta, et al. ∙

∙ 03/10/2017

Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis

Dermoscopic skin images are often obtained with different imaging device...

0 Adrian Galdran, et al. ∙

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