output
20192026
most citedEndoMapper dataset of complete calibrated endoscopy procedures

73 citations

11 papers

eess.IV2026

The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct Quantification

Olivier Bernard, William A. Romero R., Cyprien Bouton +24

Late gadolinium enhancement (LGE) cardiac magnetic resonance (MR) imaging is the modality of choice to assess myocardial infarction (MI) lesions. Nowadays MI volume quantification…

cs.LG2025

Enhancing material behavior discovery using embedding-oriented Physically-Guided Neural Networks with Internal Variables

Rubén Muñoz-Sierra, Manuel Doblaré, Jacobo Ayensa-Jiménez

Physically Guided Neural Networks with Internal Variables are SciML tools that use only observable data for training and and have the capacity to unravel internal state relations.…

physics.med-ph2025

Obstructive Sleep Apnea Characterization: A Multimodal Cross-Recurrence-Based Approach for Investigating Atrial Fibrillation

Mantas Rinkevičius, Jesús Lázaro, Eduardo Gil +4

Obstructive sleep apnea (OSA) is believed to contribute significantly to atrial fibrillation (AF) development in certain patients. Recent studies indicate a rising risk of AF with…

q-bio.NC2024★ 9 cited

Peripheral brain interfacing: Reading high-frequency brain signals from the output of the nervous system

Jaime Ibáñez, Blanka Zicher, Etienne Burdet +3

Accurate and robust recording and decoding from the central nervous system (CNS) is essential for advances in human-machine interfacing. However, technologies used to directly meas…

cs.CV2023★ 9 cited

ROBUSfT: Robust Real-Time Shape-from-Template, a C++ Library

Mohammadreza Shetab-Bushehri, Miguel Aranda, Youcef Mezouar +2

Tracking the 3D shape of a deforming object using only monocular 2D vision is a challenging problem. This is because one should (i) infer the 3D shape from a 2D image, which is a s…

cs.CV2022★ 8 cited

FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions

Bruno Berenguel-Baeta, Jesus Bermudez-Cameo, Jose J. Guerrero

In this work we present FreDSNet, a deep learning solution which obtains semantic 3D understanding of indoor environments from single panoramas. Omnidirectional images reveal task-…

eess.IV2022★ 73 cited

EndoMapper dataset of complete calibrated endoscopy procedures

Pablo Azagra, Carlos Sostres, Ángel Ferrandez +15

Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses on the automatic detection of polyps or other pathologies, but localization and…

math.NA2020★ 20 cited

A dual adaptive explicit time integration algorithm for efficiently solving the cardiac monodomain equation

Konstantinos A Mountris, Esther Pueyo

The monodomain model is widely used in in-silico cardiology to describe excitation propagation in the myocardium. Frequently, operator splitting is used to decouple the stiff react…

cs.CE2020★ 21 cited

The Radial Point Interpolation Mixed Collocation (RPIMC) Method for the Solution of Transient Diffusion Problems

Konstantinos A. Mountris, Esther Pueyo

The Radial Point Interpolation Mixed Collocation (RPIMC) method is proposed in this paper for transient analysis of diffusion problems. RPIMC is an efficient purely meshless method…

math.NA2019★ 8 cited

Cell-based Maximum Entropy Approximants for Three Dimensional Domains: Application in Large Strain Elastodynamics using the Meshless Total Lagrangian Explicit Dynamics Method

Konstantinos A. Mountris, George C. Bourantas, Daniel Millán +4

We present the Cell-based Maximum Entropy (CME) approximants in E3 space by constructing the smooth approximation distance function to polyhedral surfaces. CME is a meshfree approx…

cs.CE2019★ 65 cited

Suite of Meshless Algorithms for Accurate Computation of Soft Tissue Deformation for Surgical Simulation

Grand Joldes, George Bourantas, Benjamin Zwick +7

The ability to predict patient-specific soft tissue deformations is key for computer-integrated surgery systems and the core enabling technology for a new era of personalized medic…