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Books and Theses
- 2019
[b1]Baran Gözcü
:
Data-driven Measurement Designs for Magnetic Resonance Imaging. EPFL, Switzerland, 2019
Journal Articles
- 2023
- [j4]Till N. Schnabel, Baran Gözcü, Paulo F. U. Gotardo, Lasse Lingens, Daniel Dorda, Frawa Vetterli, Ashraf Emhemmed, Prasad Nalabothu, Yoriko Lill, Benito K. Benitez, Andreas A. Müller, Markus Gross, Barbara Solenthaler:
Automated and data-driven plate computation for presurgical cleft lip and palate treatment. Int. J. Comput. Assist. Radiol. Surg. 18(6): 1119-1125 (2023) - 2022
- [j3]Lingchen Yang, Byungsoo Kim, Gaspard Zoss, Baran Gözcü, Markus Gross, Barbara Solenthaler:
Implicit neural representation for physics-driven actuated soft bodies. ACM Trans. Graph. 41(4): 122:1-122:10 (2022) - 2018
- [j2]Baran Gozcu, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher:
Learning-Based Compressive MRI. IEEE Trans. Medical Imaging 37(6): 1394-1406 (2018) - 2016
- [j1]Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gozcu, Ilija Bogunovic, Volkan Cevher:
Learning-Based Compressive Subsampling. IEEE J. Sel. Top. Signal Process. 10(4): 809-822 (2016)
Conference and Workshop Papers
- 2024
- [c8]Aleksandar Milojevic, Daniel Peter, Niko B. Huber, Luis Azevedo, Andrei Latyshev, Irena Sailer, Markus H. Gross, Bernhard Thomaszewski, Barbara Solenthaler, Baran Gözcü:
AutoSkull: Learning-Based Skull Estimation for Automated Pipelines. MICCAI (7) 2024: 109-118 - [c7]Till N. Schnabel, Yoriko Lill, Benito K. Benitez, Prasad Nalabothu, Philipp Metzler, Andreas A. Müller, Markus Gross, Baran Gözcü, Barbara Solenthaler:
Large-Scale 3D Infant Face Model. MICCAI (3) 2024: 217-227 - 2023
- [c6]Lasse Lingens, Baran Gözcü, Till N. Schnabel, Yoriko Lill, Benito K. Benitez, Prasad Nalabothu, Andreas A. Müller, Markus Gross, Barbara Solenthaler:
Image-Based 3D Reconstruction of Cleft Lip and Palate Using a Learned Shape Prior. AMAI@MICCAI 2023: 94-103 - 2020
- [c5]Thomas Sanchez, Baran Gözcü, Ruud B. van Heeswijk, Armin Eftekhari, Efe Ilicak, Tolga Çukur, Volkan Cevher:
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI. ICASSP 2020: 8584-8588 - 2019
- [c4]Baran Gözcü, Thomas Sanchez, Volkan Cevher:
Rethinking Sampling in Parallel MRI: A Data-Driven Approach. EUSIPCO 2019: 1-5 - 2015
- [c3]Baran Gozcu, Luca Baldassarre, Quoc Tran-Dinh, Cosimo Aprile, Volkan Cevher:
A primal-dual framework for mixtures of regularizers. EUSIPCO 2015: 240-244 - 2014
- [c2]Bubacarr Bah, Stephen Becker, Volkan Cevher, Baran Gozcu:
Metric learning with rank and sparsity constraints. ICASSP 2014: 21-25 - 2013
- [c1]Baran Gozcu, Afsaneh Asaei, Volkan Cevher:
Manifold sparse beamforming. CAMSAP 2013: 113-116
Informal and Other Publications
- 2024
- [i4]Lingchen Yang, Byungsoo Kim, Gaspard Zoss, Baran Gözcü, Markus Gross, Barbara Solenthaler:
Implicit Neural Representation for Physics-driven Actuated Soft Bodies. CoRR abs/2401.14861 (2024) - 2019
- [i3]Thomas Sanchez, Baran Gözcü, Ruud B. van Heeswijk, Efe Ilicak, Tolga Çukur, Volkan Cevher:
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI. CoRR abs/1902.00386 (2019) - 2018
- [i2]Baran Gözcü, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher:
Learning-Based Compressive MRI. CoRR abs/1805.01266 (2018) - 2015
- [i1]Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gözcü, Ilija Bogunovic, Volkan Cevher:
Learning-based Compressive Subsampling. CoRR abs/1510.06188 (2015)
Coauthor Index
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