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ORCIDZahra Babaiee
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2020 – today
- 2024
[c3]Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels. ICLR 2024- [c2]Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. WACV 2024: 8201-8210 - [i11]Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. CoRR abs/2401.10178 (2024) - [i10]Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels. CoRR abs/2401.14469 (2024) - [i9]Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Simon Spohn, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu:
Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game. CoRR abs/2407.10537 (2024) - 2023
- [j1]Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Matthias Benndorf
, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu:
Investigation and benchmarking of U-Nets on prostate segmentation tasks. Comput. Medical Imaging Graph. 107: 102241 (2023) - [i8]Julian Lemmel, Zahra Babaiee, Marvin Kleinlehner, Ivan Majic, Philipp Neubauer, Johannes Scholz, Radu Grosu, Sophie A. Neubauer:
Prediction of Tourism Flow with Sparse Geolocation Data. CoRR abs/2308.14516 (2023) - 2022
- [i7]Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu:
End-to-End Sensitivity-Based Filter Pruning. CoRR abs/2204.07412 (2022) - [i6]Mathias Lechner, Ramin M. Hasani, Zahra Babaiee, Radu Grosu, Daniela Rus, Thomas A. Henzinger, Sepp Hochreiter:
Entangled Residual Mappings. CoRR abs/2206.01261 (2022) - [i5]Julian Lemmel, Zahra Babaiee, Marvin Kleinlehner, Ivan Majic, Philipp Neubauer, Johannes Scholz, Radu Grosu, Sophie A. Neubauer:
Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data. CoRR abs/2206.13274 (2022) - [i4]Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu:
Pruning by Active Attention Manipulation. CoRR abs/2210.11114 (2022) - [i3]Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu:
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels. CoRR abs/2210.15949 (2022) - 2021
- [c1]Zahra Babaiee, Ramin M. Hasani, Mathias Lechner, Daniela Rus, Radu Grosu:
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. ICML 2021: 478-489 - [i2]Zahra Babaiee, Ramin M. Hasani, Mathias Lechner, Daniela Rus, Radu Grosu:
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. CoRR abs/2106.07091 (2021) - [i1]Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca L. Grosu, Radu Grosu:
3D-OOCS: Learning Prostate Segmentation with Inductive Bias. CoRR abs/2110.15664 (2021)
Coauthor Index
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