Magdalini Paschali

According to our database, Magdalini Paschali authored at least 29 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation.

Zhihong Chen, Maya Varma, Jean-Benoit Delbrouck, Magdalini Paschali, Louis Blankemeier, Dave Van Veen, Jeya Maria Jose Valanarasu, Alaa Youssef, Joseph Paul Cohen, Eduardo Pontes Reis, Emily Bao Tsai, Andrew Johnston, Cameron Olsen, Tanishq Mathew Abraham, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz

CoRR, 2024

2023

Investigating Pulse-Echo Sound Speed Estimation in Breast Ultrasound with Deep Learning.

Walter A. Simson, Magdalini Paschali, Vasiliki Sideri-Lampretsa, Nassir Navab, Jeremy J. Dahl

CoRR, 2023

Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT Scans.

Michelle Xiao-Lin Foo, Seong Tae Kim, Magdalini Paschali, Leili Goli, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler

IEEE Access, 2023

Self-supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET.

Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Rominger, Kuangyu Shi, Nassir Navab, Thomas Wendler

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Longitudinal Self-Supervision for COVID-19 Pathology Quantification.

Tobias Czempiel, Coco Rogers, Matthias Keicher, Magdalini Paschali, Rickmer Braren, Egon Burian, Marcus R. Makowski, Nassir Navab, Thomas Wendler, Seong Tae Kim

CoRR, 2022

Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study.

Tobias Czempiel, Aidean Sharghi, Magdalini Paschali, Omid Mohareri

CoRR, 2022

Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing.

Magdalini Paschali, Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Surgical Workflow Recognition: From Analysis of Challenges to Architectural Study.

Tobias Czempiel, Aidean Sharghi, Magdalini Paschali, Nassir Navab, Omid Mohareri

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction.

Matthias Keicher, Hendrik Burwinkel, David Bani-Harouni, Magdalini Paschali, Tobias Czempiel, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler

CoRR, 2021

Rethinking Ultrasound Augmentation: A Physics-Inspired Approach.

Maria Tirindelli, Christine Eilers, Walter Simson, Magdalini Paschali, Mohammad Farid Azampour, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs.

Seong Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

OperA: Attention-Regularized Transformers for Surgical Phase Recognition.

Tobias Czempiel, Magdalini Paschali, Daniel Ostler, Seong Tae Kim, Benjamin Busam, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis.

Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020

TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks.

Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning.

Hannes Hase, Mohammad Farid Azampour, Maria Tirindelli, Magdalini Paschali, Walter Simson, Emad Fatemizadeh, Nassir Navab

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Signal Clustering With Class-Independent Segmentation.

Stefano Gasperini, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Radar Emitter Classification with Attribute-specific Recurrent Neural Networks.

Paolo Notaro, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab

CoRR, 2019

End-to-End Learning-Based Ultrasound Reconstruction.

Walter Simson, Rüdiger Göbl, Magdalini Paschali, Markus Krönke, Klemens Scheidhauer, Wolfgang Weber, Nassir Navab

CoRR, 2019

Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks.

Magdalini Paschali, Muhammad Ferjad Naeem, Walter Simson, Katja Steiger, Martin Mollenhauer, Nassir Navab

CoRR, 2019

Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness.

Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Muhammad Ferjad Naeem, Rüdiger Göbl, Christian Wachinger, Nassir Navab

CoRR, 2019

3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation.

Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Y.-S. Fang, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness.

Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Rüdiger Göbl, Christian Wachinger, Nassir Navab

Proceedings of the Information Processing in Medical Imaging, 2019

Abstract: Beamforming Sub-Sampled Raw Ultrasound Data with DeepFormer.

Walter Simson, Magdalini Paschali, Guillaume Zahnd, Nassir Navab

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Abstract: Adversarial Examples as Benchmark for Medical Imaging Neural Networks.

Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

Generalizability vs. Robustness: Adversarial Examples for Medical Imaging.

Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab

CoRR, 2018

Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples.

Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Abstract: Deep Hashing for Large-Scale Medical Image Retrieval.

Sailesh Conjeti, Magdalini Paschali, Abhijit Guha Roy, Nassir Navab

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

Learning Robust Hash Codes for Multiple Instance Image Retrieval.

Sailesh Conjeti, Magdalini Paschali, Amin Katouzian, Nassir Navab

CoRR, 2017

Deep Multiple Instance Hashing for Scalable Medical Image Retrieval.

Sailesh Conjeti, Magdalini Paschali, Amin Katouzian, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017