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2026 (8)

Comas J.; Vera A.J.; Vives X.; Filippi E.D.; Pereda A.; Sukno F.. CAST-Phys: Contactless Affective States Through Physiological Signals Database. IEEE Transactions on Affective Computing 2026; : .

Alomar A.; Piella G.; Mantilla-Rivas E.; Tapp A.; Porras A.R.; Rubio R.; Maya-Enero S.; Sukno F.M.; Linguraru M.G.. Unlocking 3D baby face photogrammetry: multi-view babymorph reconstruction from uncalibrated photographs. Expert Systems with Applications 2026; 315: .

Comas J.; Ruiz A.; Sukno F.. Deep pulse-signal magnification for remote heart rate estimation in compressed videos. Expert Systems with Applications 2026; 314: .

Zappe M.; Alomar A.; Linguraru M.G.; Piella G.; Sukno F.M.. Deep learnable spectral decomposition of 3D baby faces. Pattern Recognition 2026; 171: .

Barreiro A.; Mari R.; Redondo R.; Haro G.; Bosch C.. ShinyNeRF: Digitizing Anisotropic Appearance in Neural Radiance Fields. The international archives of photogrammetry, remote sensing and spatial information sciences 2026; 48: 33-40.

Laptev V.V.; Danilov V.V.; Ovcharenko E.A.; Klyshnikov K.Y.; Bessonov I.S.; Litvinyuk N.V.; Kochergin N.A.. Application of semantic segmentation cascade approach for visualization of optical coherence tomography data. Scientific Visualization 2026; 18(2): 14-23.

Laptev, Nikita V.; Gerget, Olga M.; Panteleeva, Julia K.; Chernyavsky, Mikhail A.; Danilov, Viacheslav V.. Joint aortic root segmentation and landmark localization on intraoperative fluoroscopy for TAVI guidance. Frontiers in Cardiovascular Medicine 2026; 13: .

Houri O.; Youssef L.; Crovetto F.; Borrell M.; Crimella M.; Ferrante M.; Novoa R.; Casas I.; Encabo N.; Benitez Quintanilla L.; Meler E.; Castro S.; Bijnens B.; Figueras F.; Gratacos E.; Bernardino G.; Crispi F.. Machine learning-based phenogrouping to identify clinical subtypes of preeclampsia. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 2026; 68(S1): 6-6.

2025 (16)

Laptev V.V.; Danilov V.V.; Ovcharenko E.A.; Klyshnikov K.Y.; Kolesnikov A.Y.; Arnt A.A.; Bessonov I.S.; Litvinyuk N.V.; Kochergin N.A.. Uncovering unstable plaques: deep learning segmentation in optical coherence tomography. Computer Optics 2025; 49(5): 775-793.

Waddington J.L.; Sukno F.M.. 3D imaging and geometric morphometrics of facial dysmorphology and asymmetry indicate gestational timings of dysmorphogenesis in schizophrenia and bipolar disorder. European Neuropsychopharmacology 2025; 93(0): 1-2.

Juanola X, Haro G, Fuentes M. A Critical Assessment of Visual Sound Source Localization Models Including Negative Audio [IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)]. arxiv.org 2025; : .

Alomar A.; Rubio R.; Salort L.; Albaiges G.; Paya A.; Piella G.; Sukno F.. Automatic Facial Axes Standardization of 3D Fetal Ultrasound Images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2025; 15186 LNCS(0): 88-98.

Morales Muñoz, Maria Araceli; Alomar Adrover, Antònia; Porras Pérez, Antonio Reyes; Linguraru, Marius George; Piella Fenoy, Gemma; Sukno, Federico Mateo. BabyFM: towards accurate 3D baby facial models using spectral decomposition and asymmetry swapping. Computers in Biology and Medicine 2025; 186: .

Laptev, Nikita V.; Gerget, Olga M.; Belova, Julia K.; Vasilchenko, Evgeny E.; Chernyavskiy, Mikhail A.; Danilov, Viacheslav V.. Optimized aortic root segmentation during transcatheter aortic valve implantation. Frontiers in Cardiovascular Medicine 2025; 12: .

Comas Martínez, Joaquim; Ruiz Ovejero, Adrià; Sukno, Federico Mateo. PulseFormer: continuous remote heart rate measurement through zoomed time-spectral attention. IEEE Transactions on Biometrics, Behavior, and Identity Science 2025; 7(4): 1-1.

Danilov, Viacheslav V.; Laptev, Vladislav V.; Klyshnikov, Kirill Yu; Bessonov, Ivan S.; Litvinyuk, Nikita V.; Ovcharenko, Evgeny A.; Kochergin, Nikita A.. Segmentation and quantification of atherosclerotic plaques in optical coherence tomography. Computers in Biology and Medicine 2025; 197: .

Laptev, Vladislav V.; Danilov, Viacheslav V.; Ovcharenko, Evgeny A.; Klyshnikov, Kirill Yu; Arnt, Anastasia A.; Kolesnikov, Alexey Yu; Bessonov, Ivan S.; Litviniuk N.V.; Kochergin, Nikita A.. Segmentation of structural components of atherosclerotic plaques on OCT images using deep machine learning. Kardiologiia 2025; 65(9): 45-55.

Barreiro A.; Mari R.; Redondo R.; Haro G.; Bosch C.; Berga D.. Specularity in NeRFs: A Comparative Study of Ref-NeRF and NRFF. Image Processing On Line 2025; 15: 32-44.

Phillips A.; Grandes Rodriguez D.; Sanchez-Manzano M.; Salvado A.; Garin M.; Haro G.; Ballester C.. Visual Motif Identification: Elaboration of a Curated Comparative Dataset and Classification Methods. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2025; 15628: 345-361.

Barral H, Arias P, Davy A. PDB Unet: A Spatio Temporal Video Fixed Pattern Noise Removal Network. Dins: Del Bue A, Canton C., Pont-Tuset J., Tommasi T. (eds.). Computer Vision - ECCV 2024 Workshops. . : Springer Cham; 2025. p. 244-260.