collaborators

6 papers

q-bio.NC2026

Automatic Generation of Expert-Level Neuron Segmentation Masks from Fluorescence Microscopy Images for Non-Invasive Deep Learning Analysis of Phase-Contrast Images

Gerard Villarroya-Piqué, Víctor M. González, Esther Serrano-Pertierra +3

Background & Objective Accurate segmentation of neurons in microscopy images of neuronal cultures is crucial for research on neurodegenerative diseases and neurotoxicity. Manual an…

cs.CV2026

Evaluating ADC-only deep learning pipelines for breast cancer detection and segmentation using standalone diffusion-weighted MRI

Pablo García Marcos, Paula Puerta Gonzĺez, Guillermo Lorenzo +4

Dynamic contrast-enhanced (DCE) imaging is the gold standard technique for the detection and characterization of breast cancer using magnetic resonance imaging (MRI). However, DCE-…

cs.AI2026

Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Temporal Deep Learning on DWI

Pablo García Marcos, Md. Tarequl Islam, Paula Puerta González +5

Early identification of non-responders to neoadjuvant chemotherapy (NACT) is crucial for timely treatment adaptation in breast cancer. However, many existing predictive models rely…

cs.AI2026

Neoadjuvant chemotherapy response prediction using pretreatment diffusion and contrast-enhanced magnetic resonance imaging with clinical variables

Pablo García Marcos, Paula Puerta González, Guillermo Lorenzo +6

Prediction of pathological complete response before neoadjuvant chemotherapy may facilitate more tailored therapeutic planning for breast cancer patients. This work proposes a deep…

q-bio.NC2026

VR-IPS: Virtual Reality Tool for Photic Stimulation in Photosensitive Diagnosis

Fernando Moncada Martins, Daniel Pérez Prádanos, Angel Rio-Alvarez +5

Photosensitivity is a neurological condition in which the brain generates epileptiform activity in response to visual stimuli. The standardized clinical diagnosis procedure, named…

cs.CV2026

NeuroAdaptTrainer: A Fiji/ImageJ Plugin for YOLO-Based Neuron Segmentation, InteractiveCorrection and Transfer Learning

Daniela Eraso-Casas, Gerard Villarroya-Pique, Esther Serrano-Pertierra +4

Neuron counting and segmentation in microscopy images of neuronal cultures is a routine and time-consuming task in neuroscience research, traditionally performed through manual ins…