Predicting the diagnosis of dementia from MRI data: added value to cognitive tests. - Tetiana Habuza; Nazar Zaki; Yauhen Statsenko; Fady Alnajjar; Sanaa Elyassami (ArabWIC, 2021)

Deviation From Model of Normal Aging in Alzheimer's Disease: Application of Deep Learning to Structural MRI Data and Cognitive Tests. - Tetiana Habuza; Nazar Zaki; Elfadil A. Mohamed; Yauhen Statsenko (IEEE Access, 2022)

Prognostication of Incidence and Severity of Ischemic Stroke in Hot Dry Climate From Environmental and Non-Environmental Predictors. - Yauhen Statsenko; Tetiana Habuza; Ekaterina Fursa; Anna Ponomareva; Taleb M. Almansoori; Fatmah Al Zahmi; Klaus Neidl-Van Gorkom; Vasyl Laver; Tatsiana Talako; Miklos Szolics; Alireza Dehdashtian; Jamal Al Koteesh; et al. (IEEE Access, 2022)

Reliability of Machine Learning in Eliminating Data Redundancy of Radiomics and Reflecting Pathophysiology in COVID-19 Pneumonia: Impact of CT Reconstruction Kernels on Accuracy. - Yauhen Statsenko; Tetiana Habuza; Tatsiana Talako; Tetiana Kurbatova; Gillian Lylian Simiyu; Darya Smetanina; Juana Sido; Dana Sharif Qandil; Sarah Meribout; Juri G. Gelovani; Klaus Neidl-Van Gorkom; Taleb M. Almansoori; et al. (IEEE Access, 2022)

Integrating Radiomics with Deep Learning Enhances Multiple Sclerosis Lesion Delineation. - Nadezhda Alsahanova; Pavel Bartenev; Maksim Sharaev; Milos Ljubisavljevic; Taleb Al. Mansoori; Yauhen Statsenko (CoRR, 2025)