Areej Alsaafin
YOU?
Author Swipe
View article: Multimodal Learning for Scalable Representation of High-Dimensional Medical Data
Multimodal Learning for Scalable Representation of High-Dimensional Medical Data Open
Integrating artificial intelligence (AI) with healthcare data is rapidly transforming medical diagnostics and driving progress toward precision medicine. However, effectively leveraging multimodal data, particularly digital pathology whole…
View article: SPLICE -- Streamlining Digital Pathology Image Processing
SPLICE -- Streamlining Digital Pathology Image Processing Open
Digital pathology and the integration of artificial intelligence (AI) models have revolutionized histopathology, opening new opportunities. With the increasing availability of Whole Slide Images (WSIs), there's a growing demand for efficie…
View article: Foundation Models for Histopathology—Fanfare or Flair
Foundation Models for Histopathology—Fanfare or Flair Open
To enable effective vision-language foundation models in biomedicine, high-quality, multi-modal medical datasets are essential. These datasets serve as the substrate for training models capable of translating research into clinical practic…
View article: Creating an atlas of normal tissue for pruning WSI patching through anomaly detection
Creating an atlas of normal tissue for pruning WSI patching through anomaly detection Open
Patching whole slide images (WSIs) is an important task in computational pathology. While most of them are designed to classify or detect the presence of pathological lesions in a WSI, the confounding role and redundant nature of normal hi…
View article: Analysis and Validation of Image Search Engines in Histopathology
Analysis and Validation of Image Search Engines in Histopathology Open
Searching for similar images in archives of histology and histopathology images is a crucial task that may aid in patient matching for various purposes, ranging from triaging and diagnosis to prognosis and prediction. Whole slide images (W…
View article: Harmonizing immune cell sequences for computational analysis with large language models
Harmonizing immune cell sequences for computational analysis with large language models Open
We present SEQuence Weighted Alignment for Sorting and Harmonization (Seqwash), an algorithm designed to process sequencing profiles utilizing large language models. Seqwash harmonizes immune cell sequences into a unified representation, e…
View article: Selection of Distinct Morphologies to Divide & Conquer Gigapixel Pathology Images
Selection of Distinct Morphologies to Divide & Conquer Gigapixel Pathology Images Open
Whole slide images (WSIs) are massive digital pathology files illustrating intricate tissue structures. Selecting a small, representative subset of patches from each WSI is essential yet challenging. Therefore, following the "Divide & Conq…
View article: Rotation-Agnostic Image Representation Learning for Digital Pathology
Rotation-Agnostic Image Representation Learning for Digital Pathology Open
This paper addresses complex challenges in histopathological image analysis through three key contributions. Firstly, it introduces a fast patch selection method, FPS, for whole-slide image (WSI) analysis, significantly reducing computatio…
View article: Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection
Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection Open
Patching whole slide images (WSIs) is an important task in computational pathology. While most of the are designed to classify or detect the presence of pathological lesions in a WSI, the confounding role and redundant nature of normal his…
View article: Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection
Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection Open
Patching gigapixel whole slide images (WSIs) is an important task in computational pathology. Some methods have been proposed to select a subset of patches as WSI representation for downstream tasks. While most of the computational patholo…
View article: When is a Foundation Model a Foundation Model
When is a Foundation Model a Foundation Model Open
Recently, several studies have reported on the fine-tuning of foundation models for image-text modeling in the field of medicine, utilizing images from online data sources such as Twitter and PubMed. Foundation models are large, deep artif…
View article: Learning to predict RNA sequence expressions from whole slide images with applications for search and classification
Learning to predict RNA sequence expressions from whole slide images with applications for search and classification Open
Deep learning methods are widely applied in digital pathology to address clinical challenges such as prognosis and diagnosis. As one of the most recent applications, deep models have also been used to extract molecular features from whole …