H. P. Oliveira

发表

A new numerical code for the Bondi problem

H. P. Oliveira, H. P. Oliveira, 2009 .

Jaime S. Cardoso, H. P. Oliveira, R. J. Ara'ujo, 2021, ArXiv.

MobBIO: A multimodal database captured with a portable handheld device

Ana F. Sequeira, Hélder P. Oliveira, João C. Monteiro, 2014, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

Perspectives for digitally-enabled engagement tools within prospective surveillance model for breast cancer survivors

H. P. Oliveira, Roberto Frias, J. Monteiro, 2015 .

Improving the BCCT.core model with lateral information

Jaime S. Cardoso, H. P. Oliveira, M. Cardoso, 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

Comprehensive Perspective for Lung Cancer Characterisation Based on AI Solutions Using CT Images

H. P. Oliveira, J. L. Costa, V. Hespanhol, 2020, Journal of clinical medicine.

PICTURE: Predicting the cosmetic outcome of breast cancer surgery

H. P. Oliveira, Rene M. Lacher, D. Stoyanov, 2014 .

Segmentation of the Rectus Abdominis Muscle Anterior Fascia for the Analysis of Deep Inferior Epigastric Perforators

Hélder P. Oliveira, Ricardo J. Araújo, H. P. Oliveira, 2017, IbPRIA.

Identifying relationships between imaging phenotypes and lung cancer-related mutation status: EGFR and KRAS

H. P. Oliveira, J. L. Costa, V. Hespanhol, 2020, Scientific Reports.

Identifying relationships between imaging phenotypes and lung cancer-related mutation status: EGFR and KRAS

H. P. Oliveira, J. L. Costa, V. Hespanhol, 2019, Scientific Reports.

The Influence of a Coherent Annotation and Synthetic Addition of Lung Nodules for Lung Segmentation in CT Scans

H. P. Oliveira, Inês Neves, Tânia Pereira, 2022, Sensors.

Evaluation of upper limbs movements after surgery in breast cancer patients

H. P. Oliveira, J. Monteiro, A. Guerra, 2015 .

3D digital breast cancer models with multimodal fusion algorithms

Jaime S. Cardoso, H. P. Oliveira, F. Cardoso, 2020, Breast.

Lung Segmentation in CT Images: A Residual U-Net Approach on a Cross-Cohort Dataset

H. P. Oliveira, Tânia Pereira, Francisco Silva, 2022, Applied Sciences.

Unsupervised Approach for Malignancy Assessment of Lung Nodules in Computed Tomography Scans Using Radiomic Features

H. P. Oliveira, Tânia Pereira, António Cunha, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Lung CT image synthesis using GANs

H. P. Oliveira, J. L. Costa, V. Hespanhol, 2022, Expert Syst. Appl..

The value of 3D images in the aesthetic evaluation of breast cancer conservative treatment. Results from a prospective multicentric clinical trial.

Jaime S. Cardoso, H. P. Oliveira, J. Dixon, 2018, Breast.

Attention Based Deep Multiple Instance Learning Approach for Lung Cancer Prediction using Histopathological Images

Hélder P. Oliveira, H. P. Oliveira, José Luis Costa, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

The Role of Liquid Biopsy in Early Diagnosis of Lung Cancer

H. P. Oliveira, J. L. Costa, N. Cruz-Martins, 2021, Frontiers in Oncology.

Multiple instance learning for lung pathophysiological findings detection using CT scans

H. P. Oliveira, J. L. Costa, V. Hespanhol, 2022, Medical & Biological Engineering & Computing.

A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery

Jaime S. Cardoso, Pedro Faria, João F. Teixeira, 2018, Sensors.

Ensemble Strategies for EGFR Mutation Status Prediction in Lung Cancer

Hélder P. Oliveira, H. P. Oliveira, Tânia Pereira, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

Jaime S. Cardoso, Maria João Cardoso, Hélder P. Oliveira, 2016, Comput. Methods Programs Biomed..

Lesions Multiclass Classification in Endoscopic Capsule Frames

Hélder P. Oliveira, Maria Teresa Valério, Sara Gomes, 2019, CENTERIS/ProjMAN/HCist.

Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges

H. P. Oliveira, J. L. Costa, V. Hespanhol, 2022, Journal of personalized medicine.

Radiogenomics: Lung Cancer-Related Genes Mutation Status Prediction

Gil Pinheiro, Hélder P. Oliveira, Catarina Dias, 2019, IbPRIA.

Weakly-Supervised Classification of HER2 Expression in Breast Cancer Haematoxylin and Eosin Stained Slides

Jaime S. Cardoso, Tiago Gonçalves, Hélder P. Oliveira, 2020, Applied Sciences.

Unsupervised Neural Network for Homography Estimation in Capsule Endoscopy Frames

Hélder P. Oliveira, Maria Teresa Valério, Sara Gomes, 2019, CENTERIS/ProjMAN/HCist.

Lightweight Deep Learning Pipeline for Detection, Segmentation and Classification of Breast Cancer Anomalies

Hélder P. Oliveira, João F. Teixeira, Hugo S. Oliveira, 2019, ICIAP.

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

Jaime S. Cardoso, Thomas Bülow, David J. Hawkes, 2016, Digital Mammography / IWDM.

Geometry-Based Skin Colour Estimation for Bare Torso Surface Reconstruction

Hélder P. Oliveira, H. P. Oliveira, Hooshiar Zolfagharnasab, 2019, ICIAP.

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

Jaime S. Cardoso, Hélder P. Oliveira, Maria J. Cardoso, 2014, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Is Kinect Depth Data Accurate for the Aesthetic Evaluation after Breast Cancer Surgeries?

Jaime S. Cardoso, Maria João Cardoso, Hélder P. Oliveira, 2013, IbPRIA.

Simultaneous detection of prominent points on breast cancer conservative treatment images

Jaime S. Cardoso, Maria João Cardoso, Hélder P. Oliveira, 2012, 2012 19th IEEE International Conference on Image Processing.

Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

H. P. Oliveira, M. Cardoso, A. Magalhães, 2014 .

Gradient Flow Based Detection of Prominent Points on BCCT Depth-Map Images

H. P. Oliveira, 2012 .

Depth-Map Images for the Aesthetic Evaluation of Breast Cancer Treatment

Jaime S. Cardoso, H. P. Oliveira, M. Cardoso, 2012 .

Development of a BCCT Quantitative 3D Evaluation System through Low-Cost Solutions

Jaime S. Cardoso, Guido Baroni, Hélder P. Oliveira, 2011 .

Diffuse reflectance and machine learning techniques to differentiate colorectal cancer ex vivo.

H. P. Oliveira, V. Tuchin, R. Henrique, 2021, Chaos.

Automatic detection of perforators for microsurgical reconstruction

Jaime S. Cardoso, H. P. Oliveira, F. Cardoso, 2020, Breast.

Pre-Training Autoencoder for Lung Nodule Malignancy Assessment Using CT Images

José João Mendes, Hélder P. Oliveira, Francisco J. G. Silva, 2020, Applied Sciences.

3D Breast Volume Estimation

H. P. Oliveira, F. Cardoso, M. Cardoso, 2021, European Surgical Research.

Learning Models for Bone Marrow Edema Detection in Magnetic Resonance Imaging

H. P. Oliveira, Tânia Pereira, Francisco Silva, 2023, Applied Sciences.

Tessellation-based coarse registration method for 3D reconstruction of the female torso

Hélder P. Oliveira, Pedro Costa, H. P. Oliveira, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

3D Reconstruction of Body Parts Using RGB-D Sensors: Challenges from a Biomedical Perspective

Jaime S. Cardoso, Hélder P. Oliveira, H. P. Oliveira, 2014 .

A Deep Learning Design for Improving Topology Coherence in Blood Vessel Segmentation

Jaime S. Cardoso, Hélder P. Oliveira, H. P. Oliveira, 2019, MICCAI.

A Framework for Fusion of T1-Weighted and Dynamic MRI Sequences

Hélder P. Oliveira, Sílvia Bessa, João F. Teixeira, 2020, ICIAR.

An Interpretable Approach for Lung Cancer Prediction and Subtype Classification using Gene Expression

H. P. Oliveira, J. L. Costa, J. Morgado, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

Jaime S. Cardoso, Inês Domingues, Hélder P. Oliveira, 2015, Int. J. Pattern Recognit. Artif. Intell..

Single Modality vs. Multimodality: What Works Best for Lung Cancer Screening?

H. P. Oliveira, Tânia Pereira, Francisco Silva, 2023, Sensors.

Machine learning-based approaches for cancer prediction using microbiome data

H. P. Oliveira, C. Figueiredo, R. Ferreira, 2023, Scientific reports.

On the way for the best imaging features from CT images to predict EGFR Mutation Status in Lung Cancer

H. P. Oliveira, Tânia Pereira, Francisco Silva, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

EGFR Assessment in Lung Cancer CT Images: Analysis of Local and Holistic Regions of Interest Using Deep Unsupervised Transfer Learning

Eduardo Negrão, Hélder P. Oliveira, Isabel Ramos, 2021, IEEE Access.

Embedding Anatomical Characteristics in 3D Models of Lower-limb Sockets through Statistical Shape Modelling

Sofia Assis, H. P. Oliveira, Ana Costa, 2021, VISIGRAPP.

Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: The CINDERELLA trial

H. P. Oliveira, O. Kaidar-Person, O. Ciani, 2023, PloS one.

A depth-map approach for automatic mice behavior recognition

Jaime S. Cardoso, Hélder P. Oliveira, Paulo Aguiar, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Machine Learning and Feature Selection Methods for EGFR Mutation Status Prediction in Lung Cancer

H. P. Oliveira, J. L. Costa, V. Hespanhol, 2021, Applied Sciences.

Active Learning for Abnormalities Detection on Videos of Endoscopic Capsule

H. P. Oliveira, Maria Inês Fernandes Xavier, T. Lopes, 2020 .

A Kinect-Based System to Assess Lymphedema Impairments in Breast Cancer Patients

Hélder P. Oliveira, André Magalhães, H. P. Oliveira, 2015, IbPRIA.

Adversarial Data Augmentation on Breast MRI Segmentation

Hélder P. Oliveira, João F. Teixeira, H. P. Oliveira, 2021, Applied Sciences.

The value of 3D images in the aesthetic evaluation of breast cancer conservative treatment. Results from a prospective multicentric clinical trial.

Jaime S. Cardoso, H. P. Oliveira, J. Dixon, 2018, Breast.

Sharing Biomedical Data: Strengthening AI Development in Healthcare

H. P. Oliveira, J. L. Costa, M. Pelter, 2021, Healthcare.

Robust Iris Localisation in Challenging Scenarios

Jaime S. Cardoso, Ana F. Sequeira, Hélder P. Oliveira, 2013, VISIGRAPP.

Robust Iris Segmentation under Unconstrained Settings

Jaime S. Cardoso, Ana F. Sequeira, Hélder P. Oliveira, 2013, VISAPP.

Computer Aided Detection of Deep Inferior Epigastric Perforators in Computed Tomography Angiography scans

Maria João Cardoso, Hélder P. Oliveira, Ricardo J. Araújo, 2019, Comput. Medical Imaging Graph..

Morphometric analysis of sciatic nerve images: A directional gradient approach

Pedro M. Ferreira, Hélder P. Oliveira, Eduardo Marques Pereira, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Kinect-Based System for Upper-Body Function Assessment in Breast Cancer Patients

Hélder P. Oliveira, André Magalhães, H. P. Oliveira, 2015, J. Imaging.

Synthesizing 3D Lung CT scans with Generative Adversarial Networks

H. P. Oliveira, Tânia Pereira, Francisco Silva, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).