Ramtin Gharleghi

According to our database, Ramtin Gharleghi authored at least 10 papers between 2019 and 2023.

Collaborative distances:

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

2023

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.

Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.

CoRR, 2023

Assessing Encoder-Decoder Architectures for Robust Coronary Artery Segmentation.

Shisheng Zhang, Ramtin Gharleghi, Sonit Singh, Arcot Sowmya, Susann Beier

Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023

2022

Computed tomography coronary angiogram images, annotations and associated data of normal and diseased arteries.

Ramtin Gharleghi, Dona Adikari, Katy Ellenberger, Mark Webster, Chris Ellis, Arcot Sowmya, Sze-Yuan Ooi, Susann Beier

CoRR, 2022

Transient wall shear stress estimation in coronary bifurcations using convolutional neural networks.

Ramtin Gharleghi, Arcot Sowmya, Susann Beier

Comput. Methods Programs Biomed., 2022

Towards automated coronary artery segmentation: A systematic review.

Ramtin Gharleghi, Nanway Chen, Arcot Sowmya, Susann Beier

Comput. Methods Programs Biomed., 2022

Automated segmentation of normal and diseased coronary arteries - The ASOCA challenge.

Ramtin Gharleghi, Dona Adikari, Katy Ellenberger, Sze-Yuan Ooi, Chris Ellis, Chung-Ming Chen, Ruochen Gao, Yuting He, Raabid Hussain, Chia-Yen Lee, Jun Li, Jun Ma, Ziwei Nie, Bruno Oliveira, Yaolei Qi, Youssef Skandarani, João L. Vilaça, Xiyue Wang, Sen Yang, Arcot Sowmya, Susann Beier

Comput. Medical Imaging Graph., 2022

Learning Left Main Bifurcation Shape Features with an Autoencoder.

Nanway Chen, Ramtin Gharleghi, Arcot Sowmya, Susann Beier

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Helical Flow in Healthy and Diseased Patient-specific Coronary Bifurcations.

Chi Shen, Ramtin Gharleghi, Darson Dezheng Li, Susann Beier

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2020

Deep Learning for Time Averaged Wall Shear Stress Prediction in Left Main Coronary Bifurcations.

Ramtin Gharleghi, Gihan Samarasinghe, Arcot Sowmya, Susann Beier

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Advanced Multi-objective Design Analysis to Identify Ideal Stent Design.

Ramtin Gharleghi, Heidi Wright, Somesh Khullar, Jinbo Liu, Tapabrata Ray, Susann Beier

Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019