Detailed Program (GMT)
Day 1 – November 29
Opening session: 09:00 | Edifício Complexo Laboratorial, Auditorium: B0.01 | 
Keynote Session I 09:30
Keynote Speaker: Prof. Víctor Muñoz
Shortbio: Víctor Fernando Muñoz Martínez holds a PhD in Computer Science and is a Full Professor in the area of Systems Engineering and Automation. He has developed research lines focused to mobile robotics and, since 1998, to robotics applied to minimally invasive surgery. Related to the latter research line, it has been supported through projects of the Spanish National Research Plan, and in 2004 he developed the first Spanish robot to assist laparoscopic surgery which was used in human clinic.
Keynote title: New trends in surgical robotics
Paralel Session 1A: 11:00 – 12:30 | Edifício Complexo Laboratorial, Auditorium: B0.01 |
|
| Deep Learning Model Evaluation and Insights in Inherited Retinal Disease Detection – Hélder Ferreira, Ana Marta, Inês Couto, João Beirão, José Camara, António Cunha. |
| Automatic Detection of Polyps Using Deep Learning – Francisco Oliveira, Dalila Barbosa, Ishak Pacal, Danilo Leite, António Cunha. |
| Detection of Landmarks in X-Ray Images through Deep Learning – Mauro Fernandes, Vitor Filipe, António Sousa, Lio Goncalves. |
| Automating the Annotation of Medical Images in Capsule Endoscopy through Convolutional Neural Networks and CBIR – Rodrigo Fernandes, Marta Salgado, Ishak Paçal, António Cunha. |
Paralel Session 1B: 11:00 – 12:30 | Online |
|
| Evaluation of Transfer Learning with a U-Net Architectures for Kidney Segmentation – Caio Eduardo Falcão Matos, João Guilherme Araújo do Vale, Marcos Melo Ferreira, Geraldo Braz Júnior, Anselmo Cardoso de Paiva. |
| Automatic Detection of Pathologies in Medical Images Using Deep Features and Machine Learning – Daniel Gandhi Piorsky, Márcio Pereira Ferreira, Giulia de Araujo Freulon, Darlan Bruno Pontes Quintanilha, Anselmo Cardoso de Paiva, Aristófanes Correa Silva. |
| Identification and detection in building images of biological growths – prevent a health issue – Sandra Pereira, Jorge Pinto. |
| Indoor air quality in a residential building – an health issue – Sandra Pereira, Andrea Santiago, Cristina Reis, Jorge Pinto, Isabel Bentes |
Paralel Session 2A: 14:00 – 16:00 | Edifício Complexo Laboratorial, Auditorium: B0.01 |
|
| Smart Stadium Mobile application: Temperature, Humidity, Air Quality, and Cleanliness using IoT – Abbas Fadhil Aljuboori, Mustafa Jamal Mahdi. |
| 3D Remote Diagnosis and Monitoring in Virtual Wards – Anuradha Ranasinghe. |
| PHPlace: A New Perspective on Managing Pelvic Organ Prolapse Through Mobile Applications – Yanlin Mi, Barry A O’Reilly, Sabin Tabirca. |
| Behavioural Changes using mHealth: An Experimental Case Study – Zahra Mungloo-Dilmohamud, Abha Jodheea-Jutton, Kavi Khedo, Sudha Cheerkoot-Jalim, Leckraj Nagowah, Soulakshmee D. Nagowah, Abdallah Peerally, Shakuntala Baichoo. |
| DeepSquitoes: A mobile system framework for the surveillance of disease-carrying mosquitoes – Sudha Cheerkoot-Jalim, Camille Simon-Chane, Zarine Cadersaib, Leckraj Nagowah, Zahra Mungloo-Dilmohamud, Denis Sereno, Kavi Kumar Khedo, Shakuntala Baichoo, Soulakshmee D. Nagowah, Abha Jodheea-Jutton, Fadil Chady, Aymeric Histace. |
Paralel Session 2B: 14:00 – 16:00 | Online |
|
| Automated Classification of Prostate Cancer Severity using Pre-trained Models – Sílvia Barros, Vitor Filipe, Lio Goncalves. |
| SpinalTracking: An Application to Help Track Spinal Deformities – Estephane Mendes Nascimento, João Dallyson Sousa de Almeida, Geraldo Braz Júnior, Aristófanes Correa Silva, Anselmo Cardoso de Paiva. |
| Deep Learning Applications In Histopathological Images – Luis Felipe Rocha Pereira, Anselmo Cardoso de Paiva, Alexandre de Carvalho Araújo, Geraldo Braz Junior, João Dallyson Sousa de Almeida. |
| Tooth Detection and Numbering in Panoramic Radiographs using YOLOv8-Based Approach – Felipe Rogério Silva Teles, Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Aristofanes Silva, Alison Corrêa Mendes. |
| Eff-Unet For Automated Trachea Segmentation On CT Images – Arthur Guilherme Santos Fernandes, Geraldo Braz Junior, João Otávio Bandeira Diniz, Marcos Melo Ferreira, José Ribamar Durand Rodrigues Junior, Lucas Araújo Gonçalves. |
Paralel Session 3A: 16:30 – 18:30 | Edifício Complexo Laboratorial, Auditorium: B0.01 |
|
| Develop method to efficiently apply image-based facial emotion classification models to video data – Hee Min Yang. |
| BrainGain: a technological approach for increasing consciousness in coma patients. – Rita Pinto, António Jorge Gouveia. |
| Glaucoma Grading Using Fundus Images – Mackele Lourrane Jurema da Silva, Marcos Melo Ferreira, Geraldo Braz, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida. |
| eDEM-CONNECT: An ontology-based chatbot for family caregivers of people with dementia – Maurice Boiting, Niklas Tschorn, Sumaiya Suravee, Kristina Yordanova, Margareta Halek, Stefan Lüdtke, Anja Burmann. |
| Automatic Food Labels Reading System – Diogo Pires, Vítor Filipe, Lio Goncalves, António Sousa. |
Paralel Session 3B: 16:30 – 18:30 | Online |
|
| Segmentation in Capsule Endoscopy Images Using TransUNet – Marcio Pereira Ferreira, Giulia de Araujo Freulon, Daniel Gandhi Piorsky, Darlan Bruno Pontes Quintanilha, Anselmo Cardoso de Paiva, Aristófanes Correa Silva. |
| A Cascade Approach for Automatic Segmentation of Coronary Arteries Calcification in Computed Tomography Images using Deep Learning – Alan Araujo, Aristófanes Correa Silva, João Pedrosa, Italo Santos Silva, João Otávio Bandeira Diniz. |
| Performance analysis of CNN models in the detection and classification of diabetic retinopathy – Francisca Lúcio, Vitor Filipe, Lio Goncalves. |
| Geometric Perception of the Brain: a Classical Approach using Image Segmentation – Joana Leite, Paulo Salgado, Teresa Azevedo-Perdicoulis, Paulo Lopes dos Santos. |
| Gym at Home – A Proof-of-Concept – Nuno Almeida, Ana Rocha, Adalberto Rosário, Pompeu Costa, Rafael Amorim, Tiago Alves, António Teixeira. |
Day 2 – November 30
Session 4A: 09:00 – 10:30 | Edifício Complexo Laboratorial, Auditorium: B0.01 |
|
| Determination of Effective Connectivity of Brain Activity in the Resting Brain – Catarina Pião Azevedo, Paulo Salgado, Teresa Azevedo-Perdicoulis, Paulo dos Santos. |
| Evanescent Wave Filtering for Ultrasound RF-Data Compression – Edgar Manfred Gustav Dorausch, Moritz Herzoh, Cornelius Kühnöl, Daniel Swist, Tönnis Trittler, Gerhard P. Fettweis. |
| EEG monitoring in driving using embedded systems – Rui Alves, Paulo Matos. |
| Transfer Learning to Detect COVID-19 Coughs with Incremental Addition of Patient Coughs to Healthy People’s Cough Detection Models – Sudip Vhaduri, SeungYeon Paik, Jessica E Hober. |
Session 5A: 11:00 – 12:30 | Edifício Complexo Laboratorial, Auditorium: B0.01 |
|
| Optimising Wheelchair Path Planning – Paulo Salgado, Bruno Ribeiro, Teresa Azevedo-Perdicoulis, Paulo Lopes Santos. |
| A Vision Transformer Approach to Fundus Image Classification – Danilo Leite, José Camara, António Cunha. |
| Training U-Net with Proportional Image Division for Retinal Structure Segmentation – João Dallyson Sousa de Almeida, Pedro Victor de Abreu Fonseca, Alexandre Carvalho Araújo, Geraldo Braz Junior, Aristofanes Correa Silva, Anselmo Cardoso de Paiva. |
| Informative classification of Capsule Endoscopy videos using Active Learning – Filipe Fonseca, Beatriz Nunes, Marta Salgado, Augusto Silva, António Cunha. |
| Similarity-Based Explanations for Deep Interpretation of Capsule Endoscopy Images – Miguel Fontes, António Cunha. |
Discussion Panel & Demos: 14:00 – 16:00 | Edifício Complexo Laboratorial, Auditorium: B0.01
In an era marked by rapid technological advancements and societal shifts, the intersection of health, mobility, and technology has emerged as a pivotal domain with profound implications for individuals, communities, and industries. The ongoing evolution in these areas not only transforms the way healthcare is delivered but also reshapes how we move, communicate, and interact with our environment. mHealth, or mobile health, involves using devices like smartphones and wearables to support medical and public health practices, including service delivery, health monitoring, data collection, and patient engagement.
The expertise of the panelists, including Daniel Rivera’s contributions to mHealth interventions, João Paulo Cunha’s advancements in biomedical engineering and mHealth applications, Teresa Galvão’s work in operational research and smart mobility, and Teresa Mendonça’s focus on the control of neuromuscular blockade, collectively offers a comprehensive perspective on the current state and future possibilities within the realms of health, mobility, and technology.
The discussion aims to highlight the significance of these converging fields, exploring their transformative potential, challenges, and the collaborative strategies needed to navigate this dynamic landscape.
Demos | 15:30 – 15:45
Keynote Session II: 16:30 – 18:00 | Edifício Complexo Laboratorial, Auditorium: B0.01 |
Closing session
Keynote Speaker: Prof. Claudio Marrocco
Shortbio: He is a professor in Computer Science and Artificial Intelligence at the Department of Electrical and Information Engineering (DIEI), University of Cassino and Southern Latium (UniCas), Italy. Since 2018, he is the Coordinator for UniCas of the project Erasmus Mundus Joint Master Degree in “Medical Imaging and Applications” (MAIA) financed by the European Union. He is also the delegate for the coordination of the M.Sc. in Computer Engineering.
Keynote title: Latest Advances in Small Lesion Detection in Medical Images
