Domain Decomposition for a linear advection-diffusion equation by means of minimax filtering. - Emanuele Ragnoli; Sergiy Zhuk; Mykhaylo Zayats; Michael Hartnett (ECC, 2014)

Localised filtering for transport models. - Emanuele Ragnoli; Sergiy Zhuk; Mykhaylo Zayats; Michael Hartnett (CDC, 2015)

Localised sequential state estimation for advection dominated flows with non-Gaussian uncertainty description. - Emanuele Ragnoli; Mykhaylo Zayats; Fearghal O'Donncha; Sergiy Zhuk (J. Comput. Phys., 2019)

Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology. - Jonathan P. Epperlein; Mykhaylo Zayats; Seshu Tirupathi; Sergiy Zhuk; Tigran T. Tchrakian; Pol Mac Aonghusa; Donal F. O'Shea; Niall P. Hardy; Jeffrey Dalli; Ronan A. Cahill (AMIA, 2021)

Global observer design for Navier-Stokes equations in 2D. - Mykhaylo Zayats; Emilia Fridman; Sergiy Zhuk (CDC, 2021)

Super Resolution for Turbulent Flows in 2D: Stabilized Physics Informed Neural Networks. - Mykhaylo Zayats; Malgorzata J. Zimon; Kyongmin Yeo; Sergiy Zhuk (CDC, 2022)

A Recommender for the Management of Chronic Pain in Patients Undergoing Spinal Cord Stimulation. - Tigran T. Tchrakian; Mykhaylo Zayats; Alessandra Pascale; Dat Huynh; Pritish Parida; Carla Agurto Rios; Sergiy Zhuk; Jeffrey L. Rogers (ICDH, 2023)

Information Flow in Graph Neural Networks: A Clinical Triage Use Case. - Víctor Valls; Mykhaylo Zayats; Alessandra Pascale (ICDH, 2023)

Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras. - Mykhaylo Zayats; Christopher Hansen; Ronan A. Cahill; Gareth Gallagher; Ra'ed Malallah; Amit Joshi; Sergiy Zhuk (MICCAI (10), 2023)

Detectability and global observer design for 2D Navier-Stokes equations with uncertain inputs. - Sergiy Zhuk; Mykhaylo Zayats; Emilia Fridman (Autom., 2023)

Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery. - Hoang Thanh Lam; Marco Luca Sbodio; Marcos Martínez Galindo; Mykhaylo Zayats; Raúl Fernández-Díaz; Víctor Valls; Gabriele Picco; Cesar Berrospi Ramis; Vanessa López (CoRR, 2023)

A recommender for the management of chronic pain in patients undergoing spinal cord stimulation. - Tigran T. Tchrakian; Mykhaylo Zayats; Alessandra Pascale; Dat Huynh; Pritish Parida; Carla Agurto Rios; Sergiy Zhuk; Jeffrey L. Rogers; NAVITAS / ENVISION Studies Physician Author Group; Boston Scientific Research Scientists Consortium (CoRR, 2023)

Knowledge Enhanced Representation Learning for Drug Discovery. - Thanh Lam Hoang; Marco Luca Sbodio; Marcos Martínez Galindo; Mykhaylo Zayats; Raúl Fernández-Díaz; Victor Valls; Gabriele Picco; Cesar Berrospi; Vanessa López (AAAI, 2024)

Leveraging Contrast Agent Kinetics for Robust Reflectance Mode Fluorescence Tomography. - Mariella Kast; Mykhaylo Zayats; Shayan Shafiee; Sergiy Zhuk; Jan S. Hesthaven; Amit Joshi (ISBI, 2025)

Enhancing foundation models for scientific discovery via multimodal knowledge graph representations. - Vanessa López; Thanh Lam Hoang; Marcos Martínez Galindo; Raúl Fernández-Díaz; Marco Luca Sbodio; Rodrigo Ordonez-Hurtado; Mykhaylo Zayats; Natasha Mulligan; Joao H. Bettencourt-Silva (J. Web Semant., 2025)

WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks. - Jana Vatter; Mykhaylo Zayats; Marcos Martínez Galindo; Vanessa López; Ruben Mayer; Hans-Arno Jacobsen; Hoang Thanh Lam (CoRR, 2025)