Paper-Conference

ProSona: Prompt-Guided Personalization for Multi-Expert Medical Image Segmentation featured image

ProSona: Prompt-Guided Personalization for Multi-Expert Medical Image Segmentation

Automated medical image segmentation suffers from high interobserver variability, particularly in tasks such as lung nodule delineation, where experts often disagree. Existing …

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Aya ELGebaly
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INTERACT-CMIL: Multi-Task Shared Learning and Inter-Task Consistency for Conjunctival Melanocytic Intraepithelial Lesion Grading featured image

INTERACT-CMIL: Multi-Task Shared Learning and Inter-Task Consistency for Conjunctival Melanocytic Intraepithelial Lesion Grading

Accurate grading of Conjunctival Melanocytic Intraepithelial Lesions (CMIL) is essential for treatment and melanoma prediction but remains difficult due to subtle morphological …

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Mert Ikinci
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MRIQT: Physics-Aware Diffusion Model for Image Quality Transfer in Neonatal Ultra-Low-Field MRI featured image

MRIQT: Physics-Aware Diffusion Model for Image Quality Transfer in Neonatal Ultra-Low-Field MRI

Portable ultra-low-field MRI (uLF-MRI, 0.064 T) offers accessible neuroimaging for neonatal care but suffers from low signal-to-noise ratio and poor diagnostic quality compared to …

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Malek Al Abed
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Leveraging Collective Intelligence for Inclusive Global Healthcare

Deep Learning (DL) stands at the forefront of artificial intelligence, revolutionizing computer science with its prowess in various tasks, especially in computer vision and medical …

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Shadi Albarqouni
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Deep Learning for Lymph Node Metastasis Detection in Pancreatic Ductal Adenocarcinoma

Pancreatic Ductal Adenocarcinoma (PDAC) is one of the most lethal cancers, with an increasing incidence. Lymph node metastasis (LNM) is a critical factor that influences both …

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David D. Gaviria
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Bias and generalizability of foundation models across datasets in breast mammography featured image

Bias and generalizability of foundation models across datasets in breast mammography

Over the past decades, computer-aided diagnosis tools for breast cancer have been developed to enhance screening procedures, yet their clinical adoption remains challenged by data …

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Elodie Germani
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Robust Federated Learning Methodology for Automatic Chest X-Ray Diagnosis

Chest X-rays are an important diagnostic tool, but their interpretation by radiologists can be complex and time consuming. Deep Learning (DL) was identified as a possible solution …

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Carlos Fernández Del Cerro
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