3 citations · 6 across the 7 of their papers we have counts for
8 papers
Do Center Biases Propagate? Robustness of Pathology Foundation Models in Whole-Slide Image Classification
Ilán Carretero, Pablo Meseguer, Rocío del Amor +1
Pathology foundation models (PFMs) have transformed computational pathology through powerful representation learning from histopathological images. PFMs provide rich, discriminativ…
OPAL: Orthonormal Prototype Alignment Learning for Interpretable Image Classification
Ilán Carretero, Gustavo Jesús Angulo, Rocío del Amor +1
Prototypical part-based models provide explainable predictions by comparing input regions to learned prototypes. However, current approaches are burdened by complex, multi-stage tr…
DualDiT: A Conditional Dual-Output Diffusion Transformer for Joint OCT Image and Segmentation Mask Generation
Fernando García-Torres, Rocío del Amor, Sandra Morales +4
Background and Objective: Generating realistic medical images with anatomically accurate segmentation masks helps address the shortage of annotated data in medical imaging, particu…
Multi-Scale Feature Attention Network for Polymer Classification Using Terahertz Spectroscopy
Roshni Mahtani, Ilán Carretero, Daniel Moreno-Paris +4
Reliable polymer identification is essential for ensuring the quality and safety of recycled plastics, yet conventional sorting and spectroscopic techniques often struggle to deliv…
EMOVOME: A Dataset for Emotion Recognition in Spontaneous Real-Life Speech
Lucía Gómez-Zaragozá, Rocío del Amor, María José Castro-Bleda +3
Spontaneous datasets for Speech Emotion Recognition (SER) are scarce and frequently derived from laboratory environments or staged scenarios, such as TV shows, limiting their appli…
Emotional Voice Messages (EMOVOME) database: emotion recognition in spontaneous voice messages
Lucía Gómez Zaragozá, Rocío del Amor, Elena Parra Vargas +3
Emotional Voice Messages (EMOVOME) is a spontaneous speech dataset containing 999 audio messages from real conversations on a messaging app from 100 Spanish speakers, gender balanc…
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…