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Magdalini Paschali
Magdalini Paschali
Postdoctoral Scholar, Stanford University
Bestätigte E-Mail-Adresse bei stanford.edu
Titel
Zitiert von
Zitiert von
Jahr
Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples
M Paschali, S Conjeti, F Navarro, N Navab
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
182*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
1532020
Opera: Attention-regularized transformers for surgical phase recognition
T Czempiel, M Paschali, D Ostler, ST Kim, B Busam, N Navab
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
852021
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
462021
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
452020
Manifold exploring data augmentation with geometric transformations for increased performance and robustness
M Paschali, W Simson, AG Roy, R Göbl, C Wachinger, N Navab
Information Processing in Medical Imaging: 26th International Conference …, 2019
42*2019
Deep multiple instance hashing for scalable medical image retrieval
S Conjeti, M Paschali, A Katouzian, N Navab
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
332017
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
262018
Rethinking ultrasound augmentation: A physics-inspired approach
M Tirindelli, C Eilers, W Simson, M Paschali, MF Azampour, N Navab
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
212021
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
192019
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
192019
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
182019
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
152019
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, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
122021
Investigating pulse-echo sound speed estimation in breast ultrasound with deep learning
WA Simson, M Paschali, V Sideri-Lampretsa, N Navab, JJ Dahl
Ultrasonics 137, 107179, 2024
102024
Multimodal graph attention network for COVID-19 outcome prediction
M Keicher, H Burwinkel, D Bani-Harouni, M Paschali, T Czempiel, ...
Scientific Reports 13 (1), 19539, 2023
10*2023
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
102020
Surgical workflow recognition: from analysis of challenges to architectural study
T Czempiel, A Sharghi, M Paschali, N Navab, O Mohareri
European Conference on Computer Vision, 556-568, 2022
82022
Interactive segmentation for covid-19 infection quantification on longitudinal ct scans
MXL Foo, ST Kim, M Paschali, L Goli, E Burian, M Makowski, R Braren, ...
IEEE Access, 2023
52023
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation
Z Chen, M Varma, JB Delbrouck, M Paschali, L Blankemeier, D Van Veen, ...
arXiv preprint arXiv:2401.12208, 2024
42024
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