Dativa Tibyampansha

According to our database, Dativa Tibyampansha authored at least 4 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

The Sound of Death: Deep Learning Reveals Vascular Damage from Carotid Ultrasound.

Christoph Balada, Aida Romano-Martinez, Payal Varshney, Vincent ten Cate, Katharina Geschke, Jonas Tesarz, Paul Claßen, Alexander K. Schuster, Dativa Tibyampansha, Karl-Patrik Kresoja, Philipp S. Wild, Sheraz Ahmed, Andreas Dengel

CoRR, February, 2026

2025

Deep Learning for Cardiovascular Risk Assessment: Proxy Features from Carotid Sonography as Predictors of Arterial Damage.

Christoph Balada, Aida Romano-Martinez, Vincent ten Cate, Katharina Geschke, Jonas Tesarz, Paul Claßen, Alexander K. Schuster, Dativa Tibyampansha, Karl-Patrik Kresoja, Philipp S. Wild, Sheraz Ahmed, Andreas Dengel

Proceedings of the Medical Image Understanding and Analysis - 29th Annual Conference, 2025

2023

Convolutional neural network-based kidney volume estimation from low-dose unenhanced computed tomography scans.

Lukas Müller, Dativa Tibyampansha, Peter Mildenberger, Torsten Panholzer, Florian Jungmann, Moritz C. Halfmann

BMC Medical Imaging, December, 2023

2020

LEARNING WITH SMARTPHONES: Case study of learning drug prescribing using the PharmaFrog app

Dativa Tibyampansha

PhD thesis, 2020