3 citations · 5 across the 4 of their papers we have counts for
4 papers
Attention to detail: inter-resolution knowledge distillation
Rocío del Amor, Julio Silva-Rodríguez, Adrián Colomer +1
The development of computer vision solutions for gigapixel images in digital pathology is hampered by significant computational limitations due to the large size of whole slide ima…
HistoColAi: An Open-Source Web Platform for Collaborative Digital Histology Image Annotation with AI-Driven Predictive Integration
Cristian Camilo Pulgarín-Ospina, Rocío del Amor, Adrián Colomera +2
Digital pathology has become a standard in the pathology workflow due to its many benefits. These include the level of detail of the whole slide images generated and the potential…
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…