A5045596659- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Endometrial and Cervical Cancer Treatments
- Advanced X-ray and CT Imaging
- Cervical Cancer and HPV Research
- Lung Cancer Diagnosis and Treatment
- Ovarian cancer diagnosis and treatment
- Cancer and Skin Lesions
- Gynecological conditions and treatments
- Nutrition, Genetics, and Disease
- Colorectal and Anal Carcinomas
- Breast Lesions and Carcinomas
- Cancer Diagnosis and Treatment
- AI in cancer detection
- Uterine Myomas and Treatments
- Sarcoma Diagnosis and Treatment
- Biliary and Gastrointestinal Fistulas
- Cancer Genomics and Diagnostics
- Lymphoma Diagnosis and Treatment
- Breast Cancer Treatment Studies
- Advanced Electron Microscopy Techniques and Applications
- Health Systems, Economic Evaluations, Quality of Life
- Innovation Policy and R&D
- Diversity and Career in Medicine
- Infectious Disease Case Reports and Treatments
Centre Hospitalier Universitaire de Liège
2019-2025
University of Liège
2019-2025
The coronavirus disease 2019 (COVID-19) outbreak has reached pandemic status. Drastic measures of social distancing are enforced in society and healthcare systems being pushed to beyond their limits. To help the fight against this threat on human health, a fully automated AI framework was developed extract radiomics features from volumetric chest computed tomography (CT) exams. detection model dataset 1381 patients (181 COVID-19 plus 1200 non COVID control patients). A second, independent...
Abstract Background The coronavirus disease 2019 (COVID-19) outbreak has reached pandemic status. Drastic measures of social distancing are enforced in society and healthcare systems being pushed to over their limits. Objectives To develop a fully automatic framework detect COVID-19 by applying AI chest CT evaluate validation performance. Methods In this retrospective multi-site study, automated was developed extract radiomics features from volumetric exams learn the detection pattern...
Hematocolpos, characterized by the accumulation of menstrual blood in vagina, is a rare condition often misdiagnosed due to its uncommon occurrence and non-specific symptoms. Main causes include imperforate hymen, obstructed hemivagina with ipsilateral renal anomaly (OHVIRA), congenital lower vaginal atresia, complete transverse septum. Without early diagnosis treatment, complications such as tubal adhesion, pelvic endometriosis, infertility can occur. This article reviews differential...
In this study, we propose an artificial intelligence (AI) framework based on three-dimensional convolutional neural networks to classify computed tomography (CT) scans of patients with coronavirus disease 2019 (COVID-19), influenza/community-acquired pneumonia (CAP), and no infection, after automatic segmentation the lungs lung abnormalities.The AI classification model is inflated Inception architecture was trained validated retrospective data CT images 667 adult (no infection n=188,...
Abstract The paper deals with the evaluation of performance an existing and previously validated CT based radiomic signature, developed in oropharyngeal cancer to predict human papillomavirus (HPV) status, context anal cancer. For validation cancer, a dataset 59 patients coming from two different centers was collected. primary endpoint HPV status according p16 immunohistochemistry. Predefined statistical tests were performed evaluate model. AUC obtained here is 0.68 [95% CI (0.32–1.00)] F1...
<h3>Introduction/Background</h3> Endometrial cancer (EC) is the most common gynaecologic malignancy in developed countries. Molecular classification of EC includes 4 subtypes: POLE-ultramutated (POLEmut), mismatch-repair protein deficient (MMRd), p53-mutant (p53abn) and no specific molecular profile (NSMP). Lymphovascular space invasion (LVSI) appears as an independent risk factor for nodal metastases. Herein, we evaluate impact LVSI on metastases (N+) its association with classification....
Silicone gel-filled breast implants are widely used for augmentation and reconstruction after mastectomy. However, there some known complications associated with silicone implants: Leakage migration of particles from the implant cause a granulomatous reaction. Granulomas may present as masses features malignancy on MRI. We case giant siliconoma in woman who had undergone prostheses, which were surgically removed because rupture 8 years ago.
The coronavirus disease 2019 (COVID-19) outbreak has reached pandemic status and pushed healthcare systems beyond the limits. We aim to develop a fully automatic framework detect COVID-19 by applying artificial intelligence (AI). A automated AI was developed extract radiomics features from chest CT scans patients. curated analysed data total of 1381 cohort 181 RT-PCR confirmed patients 1200 control included for model development. An independent dataset 697 used validate model. datasets were...
e15502 Background: HPV status of anal and vulvar cancers cannot be predicted by visual inspection as well for oropharyngeal cancers. Radiomics applied on computed tomography images can extract features that may better characterize the structure underlying biology tumor. Methods: In this multi-center study, we validated a CT based radiomic signature to predict (p16) status, developed in head & neck cancer, cancer patients. The patients cohort was composed 68 7 patients, with p16...