Magdalini Paschali
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
4
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | MICCAI | SOE: SO(3)-Equivariant 3D MRI Encoding. | Shizhe He, Magdalini Paschali, Jiahong Ouyang, Adnan Masood, Akshay Chaudhari, Ehsan Adeli-Mosabbeb |
| 2024 | MICCAI | Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging. | Magdalini Paschali, Yu Hang Jiang, Spencer Siegel, Camila Gonzlez, Kilian M. Pohl, Akshay Chaudhari, Qingyu Zhao |
| 2023 | MICCAI | 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 |
| 2022 | ECCV | Surgical Workflow Recognition: From Analysis of Challenges to Architectural Study. | Tobias Czempiel, Aidean Sharghi, Magdalini Paschali, Nassir Navab, Omid Mohareri |
| 2022 | MICCAI | Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing. | Magdalini Paschali, Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl |
| 2021 | MICCAI | Confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis. | Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas |
| 2021 | MICCAI | OperA: Attention-Regularized Transformers for Surgical Phase Recognition. | Tobias Czempiel, Magdalini Paschali, Daniel Ostler, Seong Tae Kim, Benjamin Busam, Nassir Navab |
| 2021 | MICCAI | 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 |
| 2021 | MICCAI | Rethinking Ultrasound Augmentation: A Physics-Inspired Approach. | Maria Tirindelli, Christine Eilers, Walter Simson, Magdalini Paschali, Mohammad Farid Azampour, Nassir Navab |
| 2020 | ICASSP | Signal Clustering With Class-Independent Segmentation. | Stefano Gasperini, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab |
| 2020 | IROS | Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning. | Hannes Hase, Mohammad Farid Azampour, Maria Tirindelli, Magdalini Paschali, Walter Simson, Emad Fatemizadeh, Nassir Navab |
| 2020 | MICCAI | 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 |
| 2019 | MICCAI | 3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation. | Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Y.-S. Fang, Nassir Navab |
| 2018 | MICCAI | Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples. | Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab |
| 2017 | MICCAI | Deep Multiple Instance Hashing for Scalable Medical Image Retrieval. | Sailesh Conjeti, Magdalini Paschali, Amin Katouzian, Nassir Navab |