4 citations · 7 across the 4 of their papers we have counts for
4 papers
Class and Region-Adaptive Constraints for Network Calibration
Balamurali Murugesan, Julio Silva-Rodriguez, Ismail Ben Ayed +1
In this work, we present a novel approach to calibrate segmentation networks that considers the inherent challenges posed by different categories and object regions. In particular,…
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy
Julio Silva-Rodriguez, Jihed Chelbi, Waziha Kabir +4
Using deep learning models pre-trained on Imagenet is the traditional solution for medical image classification to deal with data scarcity. Nevertheless, relevant literature suppor…
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…