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

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

005
Publications

2016

Fitting of Breast Data Using Free Form Deformation Technique

Authors
Zolfagharnasab, H; Cardoso, JS; Oliveira, HP;

Publication
IMAGE ANALYSIS AND RECOGNITION (ICIAR 2016)

Abstract
Nowadays, breast cancer has become the most common cancer amongst females. As long as breast is assumed to be a feminine symbol, any imposed deformation of surgical procedures can affect the patients' quality of life. However, using a planning tool which is based on parametric modeling, not only improves surgeons' skills in order to perform surgeries with better cosmetic outcomes, but also increases the interaction between surgeons and patients during the decision for necessary procedures. In the current research, a methodology of parametric modeling, called Free-Form Deformation (FFD) is studied. Finally, confirmed by a quantitative analysis, we proposed two simplified versions of FFD methodology to increase model similarity to input data and decrease required fitting time.

2016

The breast cancer conservative treatment. Cosmetic results - BCCT.core - Software for objective assessment of esthetic outcome in breast cancer conservative treatment: A narrative review

Authors
Cardoso, MJ; Cardoso, JS; Oliveira, HP; Gouveia, P;

Publication
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Abstract
Background and objective: Cosmetic outcome of breast cancer conservative treatment (BCCT) remains without a standard evaluation method. Subjective methods, in spite of their low reproducibility, continue to be the most frequently used. Objective methods, although more reproducible, seem unable to translate all the subtleties involved in cosmetic outcome. The breast cancer conservative treatment cosmetic results (BCCT. core) software was developed in 2007 to try to overcome these pitfalls. The software is a semi-automatic objective tool that evaluates asymmetry, color differences and scar visibility using patient's digital pictures. The purpose of this work is to review the use of the BCCT. core software since its availability in 2007 and to put forward future developments. Methods: All the online requests for BCCT. core use were registered from June 2007 to December 2014. For each request the department, city and country as well as user intention (clinical use/research or both) were questioned. A literature search was performed in Medline, Google Scholar and ISI Web of Knowledge for all publications using and citing "BCCT.core". Results: During this period 102 centers have requested the software essentially for clinical use. The BCCT. core software was used in 19 full published papers and in 29 conference abstracts. Conclusions: The BCCT. core is a user friendly semi-automatic method for the objective evaluation of BCCT. The number of online requests and publications have been steadily increasing turning this computer program into the most frequently used tool for the objective cosmetic evaluation of BCCT.

2016

Breast Conserving Surgery Outcome Prediction: A Patient-Specific, Integrated Multi-modal Imaging and Mechano-Biological Modelling Framework

Authors
Eiben, B; Lacher, R; Vavourakis, V; Hipwell, JH; Stoyanov, D; Williams, NR; Sabczynski, J; Buelow, T; Kutra, D; Meetz, K; Young, S; Barschdorf, H; Oliveira, HP; Cardoso, JS; Monteiro, JP; Zolfagharnasab, H; Sinkus, R; Gouveia, P; Liefers, GJ; Molenkamp, B; van de Velde, CJH; Hawkes, DJ; Cardoso, MJ; Keshtgar, M;

Publication
BREAST IMAGING, IWDM 2016

Abstract
Patient-specific surgical predictions of Breast Conserving Therapy, through mechano-biological simulations, could inform the shared decision making process between clinicians and patients by enabling the impact of different surgical options to be visualised. We present an overview of our processing workflow that integrates MR images and three dimensional optical surface scans into a personalised model. Utilising an interactively generated surgical plan, a multi-scale open source finite element solver is employed to simulate breast deformity based on interrelated physiological and biomechanical processes that occur post surgery. Our outcome predictions, based on the pre-surgical imaging, were validated by comparing the simulated outcome with follow-up surface scans of four patients acquired 6 to 12 months post-surgery. A mean absolute surface distance of 3.3mm between the follow-up scan and the simulation was obtained.

2015

Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer

Authors
Cardoso, JS; Domingues, I; Oliveira, HP;

Publication
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Abstract
Breast cancer is one of the most mediated malignant diseases, because of its high incidence and prevalence, but principally due to its physical and psychological invasiveness. The study of this disease using computer science tools resorts often to the image segmentation operation. Image segmentation, although having been extensively studied, is still an open problem. Shortest path algorithms are extensively used to tackle this problem. There are, however, applications where the starting and ending positions of the shortest path need to be constrained, defining a closed contour enclosing a previously detected seed. Mass and calcification segmentation in mammograms and areola segmentation in digital images are two particular examples of interest within the field of breast cancer research. Usually the closed contour computation is addressed by transforming the image into polar coordinates, where the closed contour is transformed into an open contour between two opposite margins. In this work, after illustrating some of the limitations of this approach, we show how to compute the closed contour in the original coordinate space. After defining a directed acyclic graph appropriate for this task, we address the main difficulty in operating in the original coordinate space. Since small paths collapsing in the seed point are naturally favored, we modulate the cost of the edges to counterbalance this bias. A thorough evaluation is conducted with datasets from the breast cancer field. The algorithm is shown to be fast and reliable and suffers no loss in resolution.

2014

A 3D low-cost solution for the aesthetic evaluation of breast cancer conservative treatment

Authors
Oliveira, HP; Cardoso, JS; Magalhães, A; Cardoso, MJ;

Publication
CMBBE: Imaging & Visualization

Abstract
Breast cancer conservative treatment (BCCT) is now the preferred technique for breast cancer treatment. The limited reproducibility of standard aesthetic evaluation methods led to the development of objective methods, such as the software tool Breast Cancer Conservative Treatment.cosmetic results (BCCT.core). Although results are satisfying, there are still limitations concerning complete automation and the inability to measure volumetric information. With the fundamental premise of maintaining the system a low-cost tool, this work studies the incorporation of the Microsoft Kinect sensor in BCCT evaluations. The aim is to enable the automatic joint detection of prominent points, both on depth and RGB images. Afterwards, using those prominent points, it is possible to obtain two-dimensional and volumetric features. Finally, the aesthetic result is achieved using machine learning techniques converted automatically from the set of measures defined. Experimental results show that the proposed algorithm is accurate and robust for a wide number of patients. In addition, comparing with previous research, the procedure for detecting prominent points was automated. © 2013 © 2013 Taylor & Francis.

2013

Methods for the Aesthetic Evaluation of Breast Cancer Conservation Treatment: A Technological Review

Authors
Oliveira, HP; Cardoso, JS; Magalhaes, A; Cardoso, MJ;

Publication
CURRENT MEDICAL IMAGING REVIEWS

Abstract
Breast-conserving approaches aim to attain better aesthetic results in addition to local control and achieving survival rates equivalent to mastectomy in patients with breast cancer. While the oncologic outcome of breast conservation procedures is easily estimated objectively by disease-free and overall survival rates, the cosmetic outcome has no standard of evaluation. Although breast conservation techniques have been widely studied, different forms of evaluation and heterogeneous working practices have contributed to different aesthetic results. As this scenario suggests, the evaluation of aesthetic results should be mandatory in any institution performing breast cancer treatment, contributing to the improvement of current strategies by enabling the identification of variables which have a significant impact on the final aesthetic result. In the process of assessing cosmetic outcomes there are several important issues that should be considered: which factors have a crucial impact on the cosmetic outcome of Breast Cancer Conservation Treatment (BCCT); which parameters or features should be evaluated in the cosmetic assessment of BCCT; how patients are evaluated; which scales are used in this evaluation; which methods and technological solutions are available for the evaluation of cosmetic results of BCCT. In this paper we try to discuss all these questions, with an emphasis on the objective methods and corresponding technologies used in the aesthetic evaluation of BCCT. The most relevant publications related to the mentioned topics are presented, critically analysed and put in chronological perspective. Current and future trends are also discussed.

2012

Simultaneous Detection of Prominent Points on Breast Cancer Conservative Treatment Images

Authors
Hélder P. Oliveira; Jaime S. Cardoso; André Magalhães; Maria J. Cardoso

Publication
ICIP 2012 - 2012 IEEE International Conference on Image Processing, pp.2841-2844, Orlando, Florida, USA

Abstract

Supervised
thesis

2017

Contextual game design: from interface development to human activity recognition

Author
Helena Carolina Teixeira Lopes

Institution
UP-FEUP

2016

A Multi-modal Approach for Breast Imaging Analysis and Surgery Planning

Author
João Pedro Fonseca Teixeira

Institution
UP-FEUP

2016

Framework for the Automatic Segmentation of General Vascular Networks

Author
Ricardo Jorge Terroso de Araújo

Institution
UP-FCUP

2016

Multimodal Medical Image Registration: creating a complete 3D model of the women breast,

Author
Sílvia da Conceição Neto Bessa

Institution
UP-FCUP

2016

Tecnologias educacionais interativas: contributo para a reabilitação das mulheres submetidas a cirurgia da mama

Author
Sérgio Pedro Nascimento Magalhães

Institution
Outra