1.1k citations · 1.5k across the 6 of their papers we have counts for
10 papers
Post-hoc Overall Survival Time Prediction from Brain MRI
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento +1
Overall survival (OS) time prediction is one of the most common estimates of the prognosis of gliomas and is used to design an appropriate treatment planning. State-of-the-art (SOT…
BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis
Francisco Maria Calisto, Nuno Jardim Nunes, Jacinto Carlos Nascimento
This paper describes the field research, design and comparative deployment of a multimodal medical imaging user interface for breast screening. The main contributions described her…
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification
Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento +1
The deployment of automated systems to diagnose diseases from medical images is challenged by the requirement to localise the diagnosed diseases to justify or explain the classific…
Unsupervised Task Design to Meta-Train Medical Image Classifiers
Gabriel Maicas, Cuong Nguyen, Farbod Motlagh +2
Meta-training has been empirically demonstrated to be the most effective pre-training method for few-shot learning of medical image classifiers (i.e., classifiers modeled with smal…
3DRegNet: A Deep Neural Network for 3D Point Registration
G. Dias Pais, Srikumar Ramalingam, Venu Madhav Govindu +3
We present 3DRegNet, a novel deep learning architecture for the registration of 3D scans. Given a set of 3D point correspondences, we build a deep neural network to address the fol…
OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras
G. Dias Pais, Tiago J. Dias, Jacinto C. Nascimento +1
Pedestrian detection is one of the most explored topics in computer vision and robotics. The use of deep learning methods allowed the development of new and highly competitive algo…