Magdalini Paschali

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 41

Top Topics

Breast Ultrasound

Image Retrieval

Top Venues

Bildverarbeitung für die Medizin

Publications

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
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. CoRR (2024)
Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR (2024)
Michelle Xiao-Lin Foo, Seong Tae Kim, Magdalini Paschali, Leili Goli, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler
Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT Scans. IEEE Access 11 (2023)
Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Rominger, Kuangyu Shi, Nassir Navab, Thomas Wendler
Self-supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET. MICCAI (1) (2023)
Walter A. Simson, Magdalini Paschali, Vasiliki Sideri-Lampretsa, Nassir Navab, Jeremy J. Dahl
Investigating Pulse-Echo Sound Speed Estimation in Breast Ultrasound with Deep Learning. CoRR (2023)
Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Rominger, Kuangyu Shi, Nassir Navab, Thomas Wendler
Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET. CoRR (2023)
Magdalini Paschali, Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl
Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. PRIME@MICCAI (2022)
Magdalini Paschali, Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl
Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. CoRR (2022)
Tobias Czempiel, Aidean Sharghi, Magdalini Paschali, Omid Mohareri
Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study. CoRR (2022)
Tobias Czempiel, Aidean Sharghi, Magdalini Paschali, Nassir Navab, Omid Mohareri
Surgical Workflow Recognition: From Analysis of Challenges to Architectural Study. ECCV Workshops (3) (2022)
Tobias Czempiel, Coco Rogers, Matthias Keicher, Magdalini Paschali, Rickmer Braren, Egon Burian, Marcus R. Makowski, Nassir Navab, Thomas Wendler, Seong Tae Kim
Longitudinal Self-Supervision for COVID-19 Pathology Quantification. CoRR (2022)
Maria Tirindelli, Christine Eilers, Walter Simson, Magdalini Paschali, Mohammad Farid Azampour, Nassir Navab
Rethinking Ultrasound Augmentation: A Physics-Inspired Approach. CoRR (2021)
Michelle Xiao-Lin Foo, Seong Tae Kim, Magdalini Paschali, Leili Goli, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler
Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans. CoRR (2021)
Seong Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs. MICCAI (7) (2021)
Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas
Confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis. UNSURE/PIPPI@MICCAI (2021)
Seong-Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs. CoRR (2021)
Maria Tirindelli, Christine Eilers, Walter Simson, Magdalini Paschali, Mohammad Farid Azampour, Nassir Navab
Rethinking Ultrasound Augmentation: A Physics-Inspired Approach. MICCAI (8) (2021)
Tobias Czempiel, Magdalini Paschali, Daniel Ostler, Seong Tae Kim, Benjamin Busam, Nassir Navab
OperA: Attention-Regularized Transformers for Surgical Phase Recognition. MICCAI (4) (2021)
Matthias Keicher, Hendrik Burwinkel, David Bani-Harouni, Magdalini Paschali, Tobias Czempiel, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction. CoRR (2021)
Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas
Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis. CoRR (2021)
Tobias Czempiel, Magdalini Paschali, Daniel Ostler, Seong-Tae Kim, Benjamin Busam, Nassir Navab
OperA: Attention-Regularized Transformers for Surgical Phase Recognition. CoRR (2021)
Hannes Hase, Mohammad Farid Azampour, Maria Tirindelli, Magdalini Paschali, Walter Simson, Emad Fatemizadeh, Nassir Navab
Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning. CoRR (2020)
Stefano Gasperini, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab
Signal Clustering With Class-Independent Segmentation. ICASSP (2020)
Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab
TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks. CoRR (2020)
Hannes Hase, Mohammad Farid Azampour, Maria Tirindelli, Magdalini Paschali, Walter Simson, Emad Fatemizadeh, Nassir Navab
Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning. IROS (2020)
Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab
TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks. MICCAI (3) (2020)
Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Muhammad Ferjad Naeem, Rüdiger Göbl, Christian Wachinger, Nassir Navab
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness. CoRR (2019)
Stefano Gasperini, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab
Signal Clustering with Class-independent Segmentation. CoRR (2019)
Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Rüdiger Göbl, Christian Wachinger, Nassir Navab
Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness. IPMI (2019)
Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab
Abstract: Adversarial Examples as Benchmark for Medical Imaging Neural Networks. Bildverarbeitung für die Medizin (2019)
Walter Simson, Magdalini Paschali, Guillaume Zahnd, Nassir Navab
Abstract: Beamforming Sub-Sampled Raw Ultrasound Data with DeepFormer. Bildverarbeitung für die Medizin (2019)
Paolo Notaro, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab
Radar Emitter Classification with Attribute-specific Recurrent Neural Networks. CoRR (2019)
Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Y.-S. Fang, Nassir Navab
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation. CoRR (2019)
Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Y.-S. Fang, Nassir Navab
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation. MICCAI (3) (2019)
Magdalini Paschali, Muhammad Ferjad Naeem, Walter Simson, Katja Steiger, Martin Mollenhauer, Nassir Navab
Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks. CoRR (2019)
Walter Simson, Rüdiger Göbl, Magdalini Paschali, Markus Krönke, Klemens Scheidhauer, Wolfgang Weber, Nassir Navab
End-to-End Learning-Based Ultrasound Reconstruction. CoRR (2019)
Sailesh Conjeti, Magdalini Paschali, Abhijit Guha Roy, Nassir Navab
Abstract: Deep Hashing for Large-Scale Medical Image Retrieval. Bildverarbeitung für die Medizin (2018)
Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab
Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples. MICCAI (1) (2018)
Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab
Generalizability vs. Robustness: Adversarial Examples for Medical Imaging. CoRR (2018)
Sailesh Conjeti, Magdalini Paschali, Amin Katouzian, Nassir Navab
Learning Robust Hash Codes for Multiple Instance Image Retrieval. CoRR (2017)
Sailesh Conjeti, Magdalini Paschali, Amin Katouzian, Nassir Navab
Deep Multiple Instance Hashing for Scalable Medical Image Retrieval. MICCAI (3) (2017)