Untangling the cytoskeleton: a model to describe cytoskeletal organization

Diogo Fróis Vieira, Joana Figueiredo, João Sanches

Conference: LARSyS Annual Meeting (Lisbon, Portugal) · 14–15 July 2025 · poster oral communication

A novel computational approach to dissect the cytoskeletal architecture of cancer cells with invasive potential

Diogo Fróis Vieira, Maria Sofia Fernandes, Joana Figueiredo, Soraia Melo, Ana Margarida Moreira, José Carlos Machado, Raquel Seruca, João Miguel Sanches

Journal: Scientific Reports (Nature) · 13 February 2025

Prognostic impact and correlation with disease activity of three-dimensional OCT biomarkers in Vogt-Koyanagi-Harada patients

Afonso Lima-Cabrita, Diogo Fróis Vieira, João Lourenço Fernandes, João Salbany, David Sousa, João Sanches, Carlos Marques-Neves, Ines Leal

Conference: EVER — European Association for Vision and Eye Research (Valencia, Spain) · 3–5 November 2024 · poster award

Ultrasound image denoising with deep learning

Diogo Fróis Vieira, Afonso Raposo, António Azeitona, Manya Afonso, Luís Mendes Pedro, João Sanches

Conference: SCMED — Forum Inovação em Medicina e Engenharia Biomédica: Sinergias e Desafios· 24 September 2024 · oral communication award

Ultrasound despeckling with GANs and cross modality transfer learning

Diogo Fróis Vieira, Afonso Raposo, António Azeitona, Maruya Afonso, Luís Mendes Pedro, João Sanches

Journal: IEEE Access · 27 March 2024

A computational approach for cytoskeletal organization characterization

Diogo Fróis Vieira, Maria Sofia Fernandes, Ana Margarida Moreira, Joana Figueiredo, Raquel Seruca, João Miguel Sanches

Conference: SPAOM — Spanish Portuguese Meeting for Advanced Optical Microscopy 2023 (Faro, Portugal) · 25–27 October 2023 · poster oral communication

Unraveling the cytoskeletal architecture of cancer cells: development of a novel computational approach

Diogo Fróis Vieira, Maria Sofia Fernandes, Ana Margarida Moreira, Joana Figueiredo, Raquel Seruca, João Miguel Sanches

Conference: USA-PT Leaders in Cancer Research · 20 July 2023 · poster

Unraveling the cytoskeletal architecture of cancer cells: development of a novel computational approach

Diogo Fróis Vieira, Maria Sofia Fernandes, Ana Margarida Moreira, Joana Figueiredo, Raquel Seruca, João Miguel Sanches

Conference: LARSyS Annual Meeting (Lisbon, Portugal) · 17–18 July 2023 · poster oral communication

Unraveling new strategies for early detection of invasive cancer cells: a special focus on the nuclear and cytoskeletal architecture

Maria Sofia Fernandes, Joana Figueiredo, Diogo Fróis Vieira, Soraia Melo, Ana Margarida Moreira, João Miguel Sanches, Raquel Seruca

Conference: AACR — American Association for Cancer Research 2023 (Orlando, USA) · 14–19 April 2023 · poster

Unraveling the cytoskeletal architecture of cancer cells: development of a novel computational approach (MSc thesis)

MSc Thesis: Instituto Superior Técnico · 21 November 2022

Epileptic seizure detection gauntlet

Wearable gauntlet integrating palm EDA, finger PPG, and wrist IMU sensors, powered by a Seeeduino XIAO microcontroller. The device monitored physiological signals in real time, transmitted data to Google Firebase, and actuated a buzzer alarm upon seizure detection.

Course: Instrumentations & Acquisition of Biosignals · 2022 (before MSc thesis)

Unravelling new strategies for early detection of invasive cancer cells: a focus on the nuclear architecture dynamics

Maria Sofia Fernandes, Joana Figueiredo, Soraia Melo, Diogo Fróis Vieira, Ana Margarida Moreira, A. Maia, João Miguel Sanches, Raquel Seruca

Conference: EACR — European Association for Cancer Research Congress (Sevilla, Spain) · 20–23 June 2022 · poster

CardioBrain: Link between ECG/PPG and EEG

Diogo Fróis Vieira, Diogo Mendes, Leonor Pereira

Course: Processing of Biomedical Signals · 2021 (after Predictive Models)

Predictive Models to study Heart Disease

Beatriz Costa, Diogo Fróis Vieira, Isabel Fontán

Course (DTU): Machine Learning · 2021

Cancer risk prediction with Bayesian networks

Diogo Fróis Vieira, Fábio Almeia, Sofia Cardoso

Developed a Bayesian network from scratch to predict cancer risk based on biomedical data such as cholesterol and blood pressure. The system includes training and inference modules, providing probabilistic predictions from structured datasets.

Course (IST): Algorithms and Computational Modelation · 2020