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ORCIDNazanin Tahmasebi
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2020 – today
- 2023
[c4]Nazanin Tahmasebi, Kumaradevan Punithakumar:
A Deep Neural Network Approach for the Lesion Segmentation from Neonatal Brain Magnetic Resonance Imaging. BONBID-HIE@MICCAI 2023: 34-38- 2020
- [j2]Jirí Borovec
, Jan Kybic, Ignacio Arganda-Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander V. Khvostikov, Spyridon Bakas, Eric I-Chao Chang, Stefan Heldmann, Kimmo Kartasalo, Leena Latonen, Johannes Lotz, Michelle Noga, Sarthak Pati, Kumaradevan Punithakumar, Pekka Ruusuvuori, Andrzej Skalski, Nazanin Tahmasebi, Masi Valkonen, Ludovic Venet, Yizhe Wang, Nick Weiss, Marek Wodzinski, Yu Xiang, Yan Xu, Yan Yan, Paul A. Yushkevich, Shengyu Zhao, Arrate Muñoz-Barrutia:
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging 39(10): 3042-3052 (2020)
2010 – 2019
- 2018
- [j1]Nazanin Tahmasebi, Pierre Boulanger, Jihyun Yun, B. Gino Fallone, Kumaradevan Punithakumar:
Tracking tumor boundary using point correspondence for adaptive radio therapy. Comput. Methods Programs Biomed. 165: 187-195 (2018) - [c3]Nazanin Tahmasebi, Pierre Boulanger, Michelle Noga, Kumaradevan Punithakumar:
A Fully Convolutional Deep Neural Network for Lung Tumor Boundary Tracking in MRI. EMBC 2018: 5906-5909 - 2017
- [c2]Nazanin Tahmasebi, Pierre Boulanger, Kumaradevan Punithakumar:
Parallel implementation of a nonrigid image registration algorithm for lung tumor boundary tracking in quasi real-time MRI. EMBC 2017: 325-328 - 2016
- [c1]Nazanin Tahmasebi, Pierre Boulanger, Kumaradevan Punithakumar:
Lung tumor boundary tracking in MRI with moving mesh correspondences for adaptive radio therapy. EMBC 2016: 1264-1267
Coauthor Index
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