Eduardo Romero

Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images

Colonoscopy is the choice procedure to diagnose colon and rectum cancer, from early detection of small precancerous lesions (polyps), to confirmation of malign masses. However, the high...

Breast Masses Classification using a Sparse Representation

Optimized HLOD Refinement Driven by Hardware Occlusion Queries

When Vision-Language Models Look but Don't See: Anatomical Bias in Endoscopic Spatial Reasoning

Automatic Classification of Esophagogastroduodenoscopy Sub-Anatomical Regions

Automatic Endoscopy Classification by Fusing Depth Estimations and Image Information

Predicting Metaplasia in Upper Gastrointestinal Images from White Light Endoscopy

Finding Out and Quantifying Nuclei Differences in Metaplastic Gastric Glands and Surrounding Nuclei

Self-Supervised Learning for Multi-Category Endoscopy Classification and Data Quality Evaluation Using Masked Autoencoders

Identifying histological concepts on basal cell carcinoma images using nuclei based sampling and multi-scale descriptors

Partial Volume Estimation of Brain Cortex from MRI Using Topology-Corrected Segmentation

A multiscale/sparse representation for Diffusion Weighted Imaging (DWI) super-resolution

Ensemble of Unsupervised Learned Image Representations Based On Variational Autoencoders for Lung Adenocarcinoma Subtype Differentiation

Learning Basal Cell Carcinoma Patterns by Fusing Pathologists' WSI Navigations and Graph-Based Centrality Features

Estimating Polyp Size From a Single Colonoscopy Image Using a Shape-From-Shading Model

Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data

Tele-Pathology: A Use Case In Colombia

Human-in-the-Loop (HITL) Learning for Identifying Glioblastoma Hallmarks on H&E Slides