Dimitrios Bounias
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View article: Leveraging foundation models for content-based image retrieval in radiology
Leveraging foundation models for content-based image retrieval in radiology Open
Content-based image retrieval (CBIR) has the potential to significantly improve diagnostic aid and medical research in radiology. However, current CBIR systems face limitations due to their specialization to certain pathologies, limiting t…
View article: Inclusive, Differentially Private Federated Learning for Clinical Data
Inclusive, Differentially Private Federated Learning for Clinical Data Open
Federated Learning (FL) offers a promising approach for training clinical AI models without centralizing sensitive patient data. However, its real-world adoption is hindered by challenges related to privacy, resource constraints, and compl…
View article: Visual Prompt Engineering for Vision Language Models in Radiology
Visual Prompt Engineering for Vision Language Models in Radiology Open
Medical image classification plays a crucial role in clinical decision-making, yet most models are constrained to a fixed set of predefined classes, limiting their adaptability to new conditions. Contrastive Language-Image Pretraining (CLI…
View article: Leveraging Foundation Models for Content-Based Image Retrieval in Radiology
Leveraging Foundation Models for Content-Based Image Retrieval in Radiology Open
Content-based image retrieval (CBIR) has the potential to significantly improve diagnostic aid and medical research in radiology. However, current CBIR systems face limitations due to their specialization to certain pathologies, limiting t…
View article: Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications
Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications Open
In the rapidly evolving field of medical imaging, machine learning algorithms have become indispensable for enhancing diagnostic accuracy. However, the effectiveness of these algorithms is contingent upon the availability and organization …
View article: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection
Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection Open
Data augmentation (DA) is a key factor in medical image analysis, such as in prostate cancer (PCa) detection on magnetic resonance images. State-of-the-art computer-aided diagnosis systems still rely on simplistic spatial transformations t…
View article: AI-Supported Comprehensive Detection and Quantification of Biomarkers of Subclinical Widespread Diseases at Chest CT for Preventive Medicine
AI-Supported Comprehensive Detection and Quantification of Biomarkers of Subclinical Widespread Diseases at Chest CT for Preventive Medicine Open
Automated image analysis plays an increasing role in radiology in detecting and quantifying image features outside of the perception of human eyes. Common AI-based approaches address a single medical problem, although patients often presen…
View article: Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs
Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs Open
We seek the development and evaluation of a fast, accurate, and consistent method for general-purpose segmentation, based on interactive machine learning (IML). To validate our method, we identified retrospective cohorts of 20 brain, 50 br…
View article: Multi-institutional noninvasive in vivo characterization of <i>IDH</i>, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk)
Multi-institutional noninvasive in vivo characterization of <i>IDH</i>, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk) Open
Background Gliomas represent a biologically heterogeneous group of primary brain tumors with uncontrolled cellular proliferation and diffuse infiltration that renders them almost incurable, thereby leading to a grim prognosis. Recent compr…
View article: ADAMTS Expression in Colorectal Cancer
ADAMTS Expression in Colorectal Cancer Open
ADAMTSs are a family of secreted proteinases that share the metalloproteinase domain with matrix metalloproteinases (MMPs). By acting on a large panel of extracellular substrates, they control several cell functions such as fusion, adhesio…