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Results: 179
Structured reporting of pelvic MRI leads to better treatment planning of uterine leiomyomas.
Over the years, the role of the radiologist within the multidisciplinary team has evolved remarkably, with imaging providing crucial information for patient management. Through close collaboration with referring clinicians, most...
Focus U-Net
BACKGROUND: Colonoscopy remains the gold-standard screening for colorectal cancer. However, significant miss rates for polyps have been reported, particularly when there are multiple small adenomas. This presents an opportunity...
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation.
Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
Mar 25, 2023
The Dice similarity coefficient (DSC) is both a widely used metric and loss function for biomedical image segmentation due to its robustness to class imbalance. However, it is well known that the DSC loss is poorly calibrated...
Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine.
The ever-increasing amount of biomedical data is enabling new large-scale studies, even though ad hoc computational solutions are required. The most recent Machine Learning (ML) and Artificial Intelligence (AI) techniques have...
A Hybrid End-to-End Approach Integrating Conditional Random Fields into CNNs for Prostate Cancer Detection on MRI
Prostate Cancer (PCa) is the most common oncological disease in Western men. Even though a growing effort has been carried out by the scientific community in recent years, accurate and reliable automated PCa detection methods on...
Radiomic Signatures Associated with CD8+ Tumour-Infiltrating Lymphocytes
Syafiq Ramlee, David Hulse, Kinga Bernatowicz, Raquel Pérez-López, Evis Sala, Luigi Aloj
Jul 28, 2022
The tumour immune microenvironment influences the efficacy of immune checkpoint inhibitors. Within this microenvironment are CD8-expressing tumour-infiltrating lymphocytes (CD8+ TILs), which are an important mediator and marker...
Radiomic Signatures Associated with CD8+ Tumour-Infiltrating Lymphocytes
Syafiq Ramlee, David Hulse, Kinga Bernatowicz, Raquel Pérez-López, Evis Sala, Luigi Aloj
Sep 11, 2022
The tumour immune microenvironment influences the efficacy of immune checkpoint inhibitors. Within this microenvironment are CD8-expressing tumour-infiltrating lymphocytes (CD8+ TILs), which are an important mediator and marker...
Thoracic metastasis in advanced ovarian cancer
OBJECTIVE: To determine which computed tomography (CT) imaging features predict pleural malignancy in patients with advanced epithelial ovarian carcinoma (EOC) using video-assisted thoracic surgery (VATS), pathology, and...
MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillance
Nikita Sushentsev, Leonardo Rundo, Oleg Blyuss, Vincent J. Gnanapragasam, Evis Sala, Tristan Barrett
Jun 21, 2021
Abstract: Nearly half of patients with prostate cancer (PCa) harbour low- or intermediate-risk disease considered suitable for active surveillance (AS). However, up to 44% of patients discontinue AS within the first five years...
Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic features
Erick Costa de Farias, Christian di Noia, Changhee Han, Evis Sala, Mauro Castelli, Leonardo Rundo
Nov 01, 2021
Abstract: Robust machine learning models based on radiomic features might allow for accurate diagnosis, prognosis, and medical decision-making. Unfortunately, the lack of standardized radiomic feature extraction has hampered...
Robustness of radiomic features in CT images with different slice thickness, comparing liver tumour and muscle
Lorena Escudero Sanchez, Leonardo Rundo, Andrew B. Gill, Matthew Hoare, Eva Mendes Serrao, Evis Sala
Apr 15, 2021
Abstract: Radiomic image features are becoming a promising non-invasive method to obtain quantitative measurements for tumour classification and therapy response assessment in oncological research. However, despite its...
Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic features.
Erick Costa de Farias, Christian di Noia, Changhee Han, Evis Sala, Mauro Castelli, Leonardo Rundo
Oct 18, 2021
Robust machine learning models based on radiomic features might allow for accurate diagnosis, prognosis, and medical decision-making. Unfortunately, the lack of standardized radiomic feature extraction has hampered their...
Serial changes in tumour measurements and apparent diffusion coefficients in prostate cancer patients on active surveillance with and without histopathological progression.
Nikita Sushentsev, Iztok Caglic, Leonardo Rundo, Vasily Kozlov, Evis Sala, Vincent J Gnanapragasam, Tristan Barrett
Sep 08, 2021
OBJECTIVE: To analyse serial changes in MRI-derived tumour measurements and apparent diffusion coefficient (ADC) values in prostate cancer (PCa) patients on active surveillance (AS) with and without histopathological disease...
Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance.
MRI of Bladder Cancer
Iztok Caglic, Valeria Panebianco, Hebert A Vargas, Vlad Bura, Sungmin Woo, Martina Pecoraro, Stefano Cipollari, Evis Sala, Tristan Barrett
Jan 27, 2020
Accurate staging of bladder cancer (BC) is critical, with local tumor staging directly influencing management decisions and affecting prognosis. However, clinical staging based on clinical examination, including cystoscopy and...
MRI-derived PRECISE scores for predicting pathologically-confirmed radiological progression in prostate cancer patients on active surveillance.
MADGAN
Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltán Ádám Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, Shin’ichi Satoh
Apr 26, 2021
Abstract: Background: Unsupervised learning can discover various unseen abnormalities, relying on large-scale unannotated medical images of healthy subjects. Towards this, unsupervised methods reconstruct a 2D/3D single medical...
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