A5038728393- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Digital Radiography and Breast Imaging
- Breast Lesions and Carcinomas
- Innovative Human-Technology Interaction
- Medical Imaging Techniques and Applications
- Actinomycetales infections and treatment
- Ovarian cancer diagnosis and treatment
- Microplastics and Plastic Pollution
- Gene expression and cancer classification
- Artificial Intelligence in Healthcare
- CNS Lymphoma Diagnosis and Treatment
- CAR-T cell therapy research
- Fungal Infections and Studies
- Sustainable Supply Chain Management
- Image and Signal Denoising Methods
- Pediatric Hepatobiliary Diseases and Treatments
- Lymphoma Diagnosis and Treatment
- Chemistry and Chemical Engineering
- Ultrasound Imaging and Elastography
- Urinary and Genital Oncology Studies
- Sustainable Agricultural Systems Analysis
- Sustainability in Higher Education
- Sustainable Development and Environmental Policy
- Cholangiocarcinoma and Gallbladder Cancer Studies
University of Lisbon
2021-2025
Hôpital de Sion
2025
Hôpital Riviera-Chablais
2025
Polytechnic Institute of Viana do Castelo
2020-2022
Breast Cancer is the most commonly diagnosed cancer worldwide. While screening mammography diminishes burden of this disease, it has some flaws related to presence false negatives. Adapting each woman's needs could help overcome these challenges. traditional risk models are valuable tools, we propose an image-based approach. Since artificial intelligence proven effective in aiding diagnosis breast cancer, aim translate technology prediction. A 3-year prediction model, with a case-control...
Abstract Peripheral nervous system involvement in lymphoproliferative diseases, often due to direct nerve infiltration (neurolymphomatosis, NL), is mostly seen aggressive B-cell lymphoma. We report the case of an 88-year-old man with stage IVA DLBCL, who achieved first complete response after six R-miniCHOP21 cycles. One year post-treatment, he developed severe neurological symptoms, and PET-CT revealed widespread relapse extensive neural involvement. Treatment tafasitamab lenalidomide led a...
Ultrasound (US) imaging is used in the diagnosis and monitoring of COVID-19 breast cancer. The presence Speckle Noise (SN) a downside to its usage since it decreases lesion conspicuity. Filters can be remove SN, but they involve time-consuming computation parameter tuning. Several researchers have been developing complex Deep Learning (DL) models (150,000–500,000 parameters) for removal simulated added without focusing on real-world application removing naturally occurring SN from original...
Breast cancer remains a leading cause of mortality among women, with molecular subtypes significantly influencing prognosis and treatment strategies. Currently, identifying the subtype requires biopsy—a specialized, expensive, time-consuming procedure, often yielding to results that must be supported additional biopsies due technique errors or tumor heterogeneity. This study introduces novel approach for predicting breast using mammography images advanced artificial intelligence (AI)...
Higher education institutions (HEIs) are favored environments for the implementation of technological solutions that accelerate generation smart campi, given dynamic ecosystem they create based on involvement inspired and motivated human resources (students, professors, researchers), moving around in an atmosphere advanced digital infrastructures services. Moreover, HEIs have, their mission, not only creation integrated knowledge through Research Development (R&D) activities but also...
Breast cancer was the most diagnosed around world in 2020. Screening programs, based on mammography, aim to achieve early diagnosis which is of extreme importance when it comes cancer. There are several flaws associated with one important being tissue overlapping that can result both lesion masking and fake-lesion appearance. To overcome this, digital breast tomosynthesis takes images (slices) at different angles later reconstructed into a 3D image. Having mind slices planar where does not...
Currently, breast cancer is the most commonly diagnosed type of worldwide. Digital Breast Tomosynthesis (DBT) has been widely accepted as a stand-alone modality to replace Mammography, particularly in denser breasts. However, image quality improvement provided by DBT accompanied an increase radiation dose for patient. Here, method based on 2D Total Variation (2D TV) minimization improve without need was proposed. Two phantoms were used acquire data at different ranges (0.88-2.19 mGy Gammex...
Breast Cancer is currently the most commonly diagnosed type of cancer worldwide. While impacts this disease can be mitigated through early diagnosis, generalized screening programs based on full-field digital mammography present several limitations regarding lesion obscurity and false positive diagnosis. Given that, women could benefit from a risk analysis for development BC that would allow their healthcare professionals to adapt in personalized fashion, not only terms frequency but also...
The intraductal papillary neoplasm of the bile duct is a rare tumor considered one precursor lesions cholangiocarcinoma. It characterized by growth within lumen, occurring anywhere in biliary tree. We report case 70-year-old man who presented with six-month history weight loss and occasional choluria. An abdominal ultrasound showed marked dilatation tree polypoid intraluminal lesion. Computed tomography magnetic resonance imaging confirmed presence these findings did not reveal any secondary...