Magdalini Paschali
Magdalini Paschali
Postdoctoral Scholar, Stanford University
Geverifieerd e-mailadres voor stanford.edu
Titel
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Jaar
Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples
M Paschali, S Conjeti, F Navarro, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2018
75*2018
Deep multiple instance hashing for scalable medical image retrieval
S Conjeti, M Paschali, A Katouzian, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2017
23*2017
TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks
T Czempiel, M Paschali, M Keicher, W Simson, H Feussner, ST Kim, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
182020
Manifold exploring data augmentation with geometric transformations for increased performance and robustness
M Paschali, W Simson, AG Roy, R Göbl, C Wachinger, N Navab
International Conference on Information Processing in Medical Imaging, 517-529, 2019
17*2019
Deep learning beamforming for sub-sampled ultrasound data
W Simson, M Paschali, N Navab, G Zahnd
2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018
162018
Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning
H Hase, MF Azampour, M Tirindelli, M Paschali, W Simson, ...
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
122020
End-to-end learning-based ultrasound reconstruction
W Simson, R Göbl, M Paschali, M Krönke, K Scheidhauer, W Weber, ...
arXiv preprint arXiv:1904.04696, 2019
112019
Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks
M Paschali, MF Naeem, W Simson, K Steiger, M Mollenhauer, N Navab
arXiv preprint arXiv:1904.03127, 2019
92019
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation
M Paschali, S Gasperini, AG Roy, MYS Fang, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2019
82019
Radar Emitter Classification with Attribute-specific Recurrent Neural Networks
P Notaro, M Paschali, C Hopke, D Wittmann, N Navab
arXiv preprint arXiv:1911.07683, 2019
72019
Confidence-based out-of-distribution detection: A comparative study and analysis
C Berger, M Paschali, B Glocker, K Kamnitsas
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021
42021
OperA: Attention-Regularized Transformers for Surgical Phase Recognition
T Czempiel, M Paschali, D Ostler, ST Kim, B Busam, N Navab
arXiv preprint arXiv:2103.03873, 2021
42021
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
ST Kim, L Goli, M Paschali, A Khakzar, M Keicher, T Czempiel, E Burian, ...
arXiv preprint arXiv:2103.07240, 2021
32021
Rethinking Ultrasound Augmentation: A Physics-Inspired Approach
M Tirindelli, C Eilers, W Simson, M Paschali, MF Azampour, N Navab
arXiv preprint arXiv:2105.02188, 2021
22021
Signal clustering with class-independent segmentation
S Gasperini, M Paschali, C Hopke, D Wittmann, N Navab
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
22020
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction
M Keicher, H Burwinkel, D Bani-Harouni, M Paschali, T Czempiel, ...
arXiv preprint arXiv:2108.00860, 2021
12021
Deep Hashing for Large-Scale Medical Image Retrieval
S Conjeti, M Paschali, AG Roy, N Navab
Bildverarbeitung für die Medizin 2018, 35-35, 2018
12018
Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans
M Xiao-Lin Foo, ST Kim, M Paschali, L Goli, E Burian, M Makowski, ...
arXiv e-prints, arXiv: 2110.00948, 2021
2021
Learning Robust Representations for Medical Diagnosis
M Paschali
Technische Universität München, 2021
2021
Adversarial Examples as Benchmark for Medical Imaging Neural Networks
M Paschali, S Conjeti, F Navarro, N Navab
Bildverarbeitung für die Medizin 2019, 14-14, 2019
2019
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Artikelen 1–20