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Magdalini Paschali
Magdalini Paschali
Postdoctoral Scholar, Stanford University
Verified email at stanford.edu
Title
Cited by
Cited by
Year
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
97*2018
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
612020
Opera: Attention-regularized transformers for surgical phase recognition
T Czempiel, M Paschali, D Ostler, ST Kim, B Busam, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2021
252021
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
24*2019
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
24*2017
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
202018
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
182020
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
172019
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
162021
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
132019
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
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
102019
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, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2021
72021
Rethinking ultrasound augmentation: A physics-inspired approach
M Tirindelli, C Eilers, W Simson, M Paschali, MF Azampour, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2021
42021
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
42020
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
32021
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
2*2021
Longitudinal Self-Supervision for COVID-19 Pathology Quantification
T Czempiel, C Rogers, M Keicher, M Paschali, R Braren, E Burian, ...
arXiv preprint arXiv:2203.10804, 2022
12022
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
Detecting negative valence symptoms in adolescents based on longitudinal self-reports and behavioral assessments
M Paschali, O Kiss, Q Zhao, E Adeli, S Podhajsky, EM Müller-Oehring, ...
Journal of Affective Disorders, 2022
2022
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Articles 1–20