Cookies Policy
We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out More
Close
  • Menu
About
Download Photo HD

About

I was born in Porto, Portugal, in 1980. I graduated in Electrical and Computer Engineering in 2004, received the M.Sc. degree in Automation, Instrumentation and Control in 2008 and the Ph.D. degree in Electrical and Computer Engineering in 2013 at the Faculdade de Engenharia, Universidade do Porto, Portugal.

I am currently working as Senior Researcher at INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, a R&D institute affiliated to the Universidade do Porto, in the Visual Computing and Machine Intelligence Group (VCMI) and in the Breast Research Group.

I am also working at the Departamento de Ciências de Computadores of the Faculdade de Ciências of the Universidade do Porto as an Invited Assistant Professor. Between 2014 and 2016 I was contracted as Invited Assistant Professor at Departamento de Engenharia Informática of the Faculdade de Engenharia of the Universidade do Porto. Previously between 2008 and 2011 I was working as Invited Assistant in the same Faculty and Department.

I am also Project Member in 2 funded research project related with Advanced Methodologies for Computer-Aided Detection and Diagnosis (BCCT.plan and NanoSTIMA). In the past I was also project member in 3 other funded projects (one European and 2 National) and 3 other as research assistant.

I was the founded member and coordinator (between 2010 and 2013) of the Bio-related Image Processing and Analysis Student’s Group (BioStar) of the Faculdade de Engenharia, Universidade do Porto.

Since 2007 I have co-authored 10 articles on international journals, all except two with impact factor, with an average value of 4.018, according to the Journal Citation Reports 2015. I am author of 2 book chapters and also 36 works in major refereed international conferences, 20 articles in national refereed conferences and participated in the creation of 3 public datasets. In total, these publications have attracted over 285 citations and correspond to an h-index of 8, using Harzing’s Publish or Perish application on May 9, 2016.

I am one of the mentors and belongs to the organizer committee of the VISion Understanding and Machine Intelligence (VISUM) summer school in 4 of the 5 editions of the event. I am currently supervising 5 PhD Students and co-supervise 1 other. During my career I supervised (or co-supervised) 16 MSc students.

My research interests include medical imaging, bio-imaging, image and video processing, machine learning, artificial intelligence and 3D modelling.

Interest
Topics
Details

Details

009
Publications

2019

Paper-Based Biosensors for Analysis of Water

Authors
S. Peixoto, P; Machado, A; P. Oliveira, H; A. Bordalo, A; A. Segundo, M;

Publication
Environmental Biosensors [Working Title]

Abstract

2019

A Single-Resolution Fully Convolutional Network for Retinal Vessel Segmentation in Raw Fundus Images

Authors
Araújo, RJ; Cardoso, JS; Oliveira, HP;

Publication
Lecture Notes in Computer Science - Image Analysis and Processing – ICIAP 2019

Abstract

2019

Deep Vesselness Measure from Scale-Space Analysis of Hessian Matrix Eigenvalues

Authors
Araújo, RJ; Cardoso, JS; Oliveira, HP;

Publication
Pattern Recognition and Image Analysis - Lecture Notes in Computer Science

Abstract

2019

REGISTRATION OF BREAST MRI AND 3D SCAN DATA BASED ON SURFACE MATCHING

Authors
Bessa, S; Carvalho, PH; Oliveira, HP;

Publication
2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019)

Abstract
The creation of 3D complete models of the woman breast that aggregate radiological and surface information is a crucial step for the development of surgery planning tools in the context of breast cancer. This requires the registration of interior and surface data of the breast, which has to recover large breast deformations caused by the different poses of the patient during data acquisition and has to deal with the lack of landmarks between both modalities, apart from the nipple. In this paper, the registration of Magnetic Resonance Imaging exams and 3D surface data reconstructed from Kinect (TM) acquisitions is explored using a biomechanical modelling of breast pose transformations combined with a free form deformation to finely match the data. The results are promising, with an average euclidean distance between the matched data of 0.81 +/- 0.09 mm being achieved.

2019

Lightweight deep learning pipeline for detection, segmentation and classification of breast cancer anomalies

Authors
Oliveira, HS; Teixeira, JF; Oliveira, HP;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
The small amount of public available medical images hinders the use of deep learning techniques for mammogram automatic diagnosis. Deep learning methods require large annotated training sets to be effective, however medical datasets are costly to obtain and suffer from large variability. In this work, a lightweight deep learning pipeline to detect, segment and classify anomalies in mammogram images is presented. First, data augmentation using the ground-truth annotation is performed and used by a cascade segmentation and classification methods. Results are obtained using the INbreast public database in the context of lesion detection and BI-RADS classification. Moreover, a pre-trained Convolutional Neural Network using ResNet50 is modified to generate the lesion regions proposals followed by a false positive reduction and contour refinement stages while a pre-trained VGG16 network is fine-tuned to classify mammograms. The detection and segmentation stage results show that the cascade configuration achieves a DICE of 0.83 without massive training while the multi-class classification exhibits an MAE of 0.58 with data augmentation. © Springer Nature Switzerland AG 2019.

Supervised
thesis

2018

An Architecture for the Scalable Benchmarking of IoT Middleware and Streaming Platforms

Author
Luís Rodrigues Zilhão Nogueira

Institution
UP-FEUP

2018

Dental Pressure Detection and Nerve Stimulation Demonstration Prototype

Author
Beatriz Alves Pereira

Institution
UP-FEUP

2018

Modelling of Radiofrequency-Induced Hyperthermia within Electric Circuits Simulators

Author
Inês Pinto Ribeiro da Costa

Institution
UP-FEUP

2018

Automatic Chord Estimation from Audio

Author
Luís Miguel Machado Rodrigues

Institution
UP-FEUP

2018

Atualização Automática de sistemas SCADA em produção

Author
Luís Miguel Machado Rodrigues

Institution
UP-FEUP