9 citations · 11 across the 5 of their papers we have counts for
6 papers
Predicting the risk of colorectal anastomotic leak based on preoperative mapping of the blood supply of the bowel
Zahra Tabatabaei, Jon Sporring, Mark Bremholm Ellebæk +1
Anastomotic leak remains one of the most serious complications following colorectal cancer surgery, substantially affecting patient outcomes, recovery trajectories, and healthcare…
Topological texture analysis of microscopy images of dynamic casein gelation and its relation to rheological properties
Zahra Tabatabaei, Diana Soto Aguilar, Jose C. Bonilla +2
We propose a novel computational toolbox that integrates Topological Data Analysis (TDA), Differential Box Counting (DBC), Multifractal Partition (MFP), and Local Binary Patterns (…
Siamese Content-based Search Engine for a More Transparent Skin and Breast Cancer Diagnosis through Histological Imaging
Zahra Tabatabaei, Adrián Colomer, JAvier Oliver Moll +1
Computer Aid Diagnosis (CAD) has developed digital pathology with Deep Learning (DL)-based tools to assist pathologists in decision-making. Content-Based Histopathological Image Re…
Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach
Zahra Tabatabaei, Adrian Colomer, Javier Oliver Moll +1
Digital pathology has revolutionized cancer diagnosis by leveraging Content-Based Medical Image Retrieval (CBMIR) for analyzing histopathological Whole Slide Images (WSIs). CBMIR e…
WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval
Zahra Tabatabaei, Yuandou Wang, Adrián Colomer +3
The paper proposes a Federated Content-Based Medical Image Retrieval (FedCBMIR) platform that utilizes Federated Learning (FL) to address the challenges of acquiring a diverse medi…
Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading
Zahra Tabatabaei, Adrian colomer, Kjersti Engan +2
According to GLOBOCAN 2020, prostate cancer is the second most common cancer in men worldwide and the fourth most prevalent cancer overall. For pathologists, grading prostate cance…