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Helena Montenegro

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Teaching Assistant

University of Porto

Portugal

Research Interests

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Professors in Portugal Professors in Medical Imaging Medical Imaging professors in Portugal

Recent Grants

Grant: Close

CAGING: Causality-driven Generative Models for Privacy-preserving Case-based Explanations

Open Date: 2023-03-01

Close Date: 2024-08-31

Grant: Close

Unsupervised Generation of Multimodal Explanation using Deep Generative Models

Open Date: 2022-09-01

Close Date:

Articles (16)

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2026

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2023

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2023

Collaborators (7)

ORIANA CIANI

University of Exeter Medical School

UNITED KINGDOM

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Maciej Bobowicz

Assistant Professor

Medical University of Gdansk

POLAND

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Marilia Antunes

Professora Associada

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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Maria Joao Cardoso

Breast cancer research program director

Champalimaud Foundation

PORTUGAL

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Wilson Silva

Assistant Professor

Utrecht University

NETHERLANDS

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Rosa Di Micco

Breast Surgeon

Ospedale San Raffaele

ITALY

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Jaime Cardoso

Full Professor

University of Porto

PORTUGAL

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Helena Montenegro

Research Interests

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Recent Grants

Articles (16)

Automatic prediction and evaluation of aesthetic outcomes in plastic and oncological surgery: a systematic review

Anatomically and Clinically Informed Deep Generative Model for Breast Surgery Outcome Prediction

SiameseOrdinalCLIP: A Language-Guided Siamese Network for the Aesthetic Evaluation of Breast Cancer Locoregional Treatment

Segmentation-Based Image Manipulation for Interactive Counterfactual Explanations in Medical Image Analysis

A Literature Review on Example-Based Explanations in Medical Image Analysis

107P Surgeon preference for AI-generated aesthetic predictions after breast-conserving surgery: A multicentre pilot study

Conditional Generative Adversarial Network for Predicting the Aesthetic Outcomes of Breast Cancer Treatment

A Disentangled Approach to Predict the Aesthetic Outcomes of Breast Cancer Treatment

Explainable AI for medical image analysis

Intrinsically-Interpretable Siamese Networks for Identity Recognition

Leveraging Cold Diffusion for the Decomposition of Identically Distributed Superimposed Images

Anonymizing medical case-based explanations through disentanglement

Reproducing Asymmetries Caused by Breast Cancer Treatment in Pre-Operative Breast Images

Abstract PO3-19-11: CINDERELLA Clinical Trial (NCT05196269): using artificial intelligence-driven healthcare to enhance breast cancer locoregional treatment decisions

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

Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations

Collaborators (7)

ORIANA CIANI

Maciej Bobowicz

Marilia Antunes

Maria Joao Cardoso

Wilson Silva

Rosa Di Micco

Jaime Cardoso

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