Magdalini Paschali

52 papers A 1Misc 1Journal 32Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attention Head Entropy of LLMs Predicts Answer Correctness. CoRR Sophie Ostmeier, Brian Axelrod, Maya Varma, Asad Aali, Yabin Zhang, Magdalini Paschali, Sanmi Koyejo, Curtis Langlotz, Akshay Chaudhari
2025	J	`jnl`	Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM). CoRR Zhongnan Fang, Andrew Johnston, Lina Cheuy, Hye Sun Na, Magdalini Paschali, Camila González, Bonnie A. Armstrong, Arogya Koirala, Derrick Laurel, Andrew Campion, Michael Iv, Akshay S. Chaudhari, David B. Larson
2025	J	`jnl`	Automated real-time assessment of intracranial hemorrhage detection AI using an ensembled monitoring model (EMM). npj Digit. Medicine Zhongnan Fang, Andrew Johnston, Lina Cheuy, Hye Sun Na, Magdalini Paschali, Camila González, Bonnie A. Armstrong, Arogya Koirala, Derrick Laurel, Andrew Campion, Michael Iv, Akshay S. Chaudhari, David B. Larson
2025	J	`jnl`	Expert-level validation of AI-generated medical text with scalable language models. CoRR Asad Aali, Vasiliki Bikia, Maya Varma, Nicole Chiou, Sophie Ostmeier, Arnav Singhvi, Magdalini Paschali, Ashwin Kumar, Andrew Johnston, Karimar Amador-Martinez, Eduardo Juan Perez Guerrero, Paola Naovi Cruz Rivera, Sergios Gatidis, Christian Bluethgen, Eduardo Pontes Reis, Eddy D. Zandee van Rilland, Poonam Laxmappa Hosamani, Kevin R. Keet, Minjoung Go, Evelyn Bin Ling, David B. Larson, Curtis P. Langlotz, Roxana Daneshjou, Jason Hom, Sanmi Koyejo, Emily Alsentzer, Akshay S. Chaudhari
2025	J	`jnl`	Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data. CoRR Stefania L. Moroianu, Christian Bluethgen, Pierre J. Chambon, Mehdi Cherti, Jean-Benoit Delbrouck, Magdalini Paschali, Brandon Price, Judy Gichoya, Jenia Jitsev, Curtis P. Langlotz, Akshay S. Chaudhari
2024	J	`jnl`	CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. CoRR 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
2024	J	`jnl`	Foundation Models in Radiology: What, How, When, Why and Why Not. CoRR Magdalini Paschali, Zhihong Chen, Louis Blankemeier, Maya Varma, Alaa Youssef, Christian Bluethgen, Curtis P. Langlotz, Sergios Gatidis, Akshay Chaudhari
2024	J	`jnl`	Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR 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
2024	—	`conf`	SINR: Spline-enhanced implicit neural representation for multi-modal registration. MIDL Vasiliki Sideri-Lampretsa, Julian McGinnis, Huaqi Qiu, Magdalini Paschali, Walter Simson, Daniel Rueckert
2024	—	`conf`	SOE: SO(3)-Equivariant 3D MRI Encoding. MLCN@MICCAI Shizhe He, Magdalini Paschali, Jiahong Ouyang, Adnan Masood, Akshay Chaudhari, Ehsan Adeli-Mosabbeb
2024	J	`jnl`	SOE: SO(3)-Equivariant 3D MRI Encoding. CoRR Shizhe He, Magdalini Paschali, Jiahong Ouyang, Adnan Masood, Akshay Chaudhari, Ehsan Adeli
2024	—	`conf`	Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging. PRIME@MICCAI Magdalini Paschali, Yu Hang Jiang, Spencer Siegel, Camila González, Kilian M. Pohl, Akshay Chaudhari, Qingyu Zhao
2024	J	`jnl`	Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging. CoRR Magdalini Paschali, Yu Hang Jiang, Spencer Siegel, Camila González, Kilian M. Pohl, Akshay Chaudhari, Qingyu Zhao
2023	J	`jnl`	Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT Scans. IEEE Access Michelle Xiao-Lin Foo, Seong Tae Kim, Magdalini Paschali, Leili Goli, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler
2023	J	`jnl`	Investigating Pulse-Echo Sound Speed Estimation in Breast Ultrasound with Deep Learning. CoRR Walter A. Simson, Magdalini Paschali, Vasiliki Sideri-Lampretsa, Nassir Navab, Jeremy J. Dahl
2023	J	`jnl`	Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET. CoRR Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Rominger, Kuangyu Shi, Nassir Navab, Thomas Wendler
2023	—	`conf`	Self-supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET. MICCAI (1) Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Rominger, Kuangyu Shi, Nassir Navab, Thomas Wendler
2022	—	`conf`	Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. PRIME@MICCAI Magdalini Paschali, Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl
2022	J	`jnl`	Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. CoRR Magdalini Paschali, Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl
2022	J	`jnl`	Longitudinal Self-Supervision for COVID-19 Pathology Quantification. CoRR Tobias Czempiel, Coco Rogers, Matthias Keicher, Magdalini Paschali, Rickmer Braren, Egon Burian, Marcus R. Makowski, Nassir Navab, Thomas Wendler, Seong Tae Kim
2022	—	`conf`	Surgical Workflow Recognition: From Analysis of Challenges to Architectural Study. ECCV Workshops (3) Tobias Czempiel, Aidean Sharghi, Magdalini Paschali, Nassir Navab, Omid Mohareri
2022	J	`jnl`	Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study. CoRR Tobias Czempiel, Aidean Sharghi, Magdalini Paschali, Omid Mohareri
2021	—	`conf`	Confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis. UNSURE/PIPPI@MICCAI Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas
2021	J	`jnl`	Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis. CoRR Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas
2021	J	`jnl`	Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans. CoRR Michelle Xiao-Lin Foo, Seong Tae Kim, Magdalini Paschali, Leili Goli, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler
2021	—	`conf`	Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs. MICCAI (7) Seong Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler
2021	J	`jnl`	Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs. CoRR Seong-Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler
2021	—	`conf`	OperA: Attention-Regularized Transformers for Surgical Phase Recognition. MICCAI (4) Tobias Czempiel, Magdalini Paschali, Daniel Ostler, Seong Tae Kim, Benjamin Busam, Nassir Navab
2021	J	`jnl`	OperA: Attention-Regularized Transformers for Surgical Phase Recognition. CoRR Tobias Czempiel, Magdalini Paschali, Daniel Ostler, Seong-Tae Kim, Benjamin Busam, Nassir Navab
2021	—	`conf`	Rethinking Ultrasound Augmentation: A Physics-Inspired Approach. MICCAI (8) Maria Tirindelli, Christine Eilers, Walter Simson, Magdalini Paschali, Mohammad Farid Azampour, Nassir Navab
2021	J	`jnl`	Rethinking Ultrasound Augmentation: A Physics-Inspired Approach. CoRR Maria Tirindelli, Christine Eilers, Walter Simson, Magdalini Paschali, Mohammad Farid Azampour, Nassir Navab
2021	J	`jnl`	U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction. CoRR Matthias Keicher, Hendrik Burwinkel, David Bani-Harouni, Magdalini Paschali, Tobias Czempiel, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler
2020	Misc	`conf`	Signal Clustering With Class-Independent Segmentation. ICASSP Stefano Gasperini, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab
2020	J	`jnl`	TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks. CoRR Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab
2020	—	`conf`	TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks. MICCAI (3) Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab
2020	A	`conf`	Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning. IROS Hannes Hase, Mohammad Farid Azampour, Maria Tirindelli, Magdalini Paschali, Walter Simson, Emad Fatemizadeh, Nassir Navab
2020	J	`jnl`	Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning. CoRR Hannes Hase, Mohammad Farid Azampour, Maria Tirindelli, Magdalini Paschali, Walter Simson, Emad Fatemizadeh, Nassir Navab
2019	—	`conf`	3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation. MICCAI (3) Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Y.-S. Fang, Nassir Navab
2019	J	`jnl`	3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation. CoRR Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Y.-S. Fang, Nassir Navab
2019	—	`conf`	Abstract: Adversarial Examples as Benchmark for Medical Imaging Neural Networks. Bildverarbeitung für die Medizin Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab
2019	—	`conf`	Abstract: Beamforming Sub-Sampled Raw Ultrasound Data with DeepFormer. Bildverarbeitung für die Medizin Walter Simson, Magdalini Paschali, Guillaume Zahnd, Nassir Navab
2019	J	`jnl`	Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness. CoRR Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Muhammad Ferjad Naeem, Rüdiger Göbl, Christian Wachinger, Nassir Navab
2019	J	`jnl`	Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks. CoRR Magdalini Paschali, Muhammad Ferjad Naeem, Walter Simson, Katja Steiger, Martin Mollenhauer, Nassir Navab
2019	J	`jnl`	End-to-End Learning-Based Ultrasound Reconstruction. CoRR Walter Simson, Rüdiger Göbl, Magdalini Paschali, Markus Krönke, Klemens Scheidhauer, Wolfgang Weber, Nassir Navab
2019	—	`conf`	Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness. IPMI Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Rüdiger Göbl, Christian Wachinger, Nassir Navab
2019	J	`jnl`	Radar Emitter Classification with Attribute-specific Recurrent Neural Networks. CoRR Paolo Notaro, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab
2019	J	`jnl`	Signal Clustering with Class-independent Segmentation. CoRR Stefano Gasperini, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab
2018	—	`conf`	Abstract: Deep Hashing for Large-Scale Medical Image Retrieval. Bildverarbeitung für die Medizin Sailesh Conjeti, Magdalini Paschali, Abhijit Guha Roy, Nassir Navab
2018	J	`jnl`	Generalizability vs. Robustness: Adversarial Examples for Medical Imaging. CoRR Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab
2018	—	`conf`	Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples. MICCAI (1) Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab
2017	—	`conf`	Deep Multiple Instance Hashing for Scalable Medical Image Retrieval. MICCAI (3) Sailesh Conjeti, Magdalini Paschali, Amin Katouzian, Nassir Navab
2017	J	`jnl`	Learning Robust Hash Codes for Multiple Instance Image Retrieval. CoRR Sailesh Conjeti, Magdalini Paschali, Amin Katouzian, Nassir Navab