Magdalini Paschali | DeepAI

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Featured Co-authors

Nassir Navab
318 publications
Ben Glocker
95 publications
Benjamin Busam
59 publications
Christian Wachinger
43 publications
Konstantinos Kamnitsas
30 publications
Abhijit Guha Roy
26 publications
Seong Tae Kim
26 publications
Rickmer Braren
20 publications
Sailesh Conjeti
19 publications
Thomas Wendler
17 publications
Tobias Czempiel
14 publications

∙ 05/17/2023

Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET

Dynamic positron emission tomography imaging (dPET) provides temporally ...

0 Francesca De Benetti, et al. ∙

∙ 02/06/2023

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

Ultrasound is an adjunct tool to mammography that can quickly and safely...

0 Walter A. Simson, et al. ∙

∙ 03/21/2022

Longitudinal Self-Supervision for COVID-19 Pathology Quantification

Quantifying COVID-19 infection over time is an important task to manage ...

6 Tobias Czempiel, et al. ∙

∙ 03/17/2022

Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study

Algorithmic surgical workflow recognition is an ongoing research field a...

13 Tobias Czempiel, et al. ∙

∙ 10/03/2021

Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans

Consistent segmentation of COVID-19 patient's CT scans across multiple t...

0 Michelle Xiao-Lin Foo, et al. ∙

∙ 07/29/2021

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

During the first wave of COVID-19, hospitals were overwhelmed with the h...

19 Matthias Keicher, et al. ∙

∙ 07/06/2021

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

Image classification models deployed in the real world may receive input...

8 Christoph Berger, et al. ∙

∙ 05/05/2021

Rethinking Ultrasound Augmentation: A Physics-Inspired Approach

Medical Ultrasound (US), despite its wide use, is characterized by artif...

0 Maria Tirindelli, et al. ∙

∙ 03/12/2021

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

Chest computed tomography (CT) has played an essential diagnostic role i...

14 Seong Tae Kim, et al. ∙

∙ 03/05/2021

OperA: Attention-Regularized Transformers for Surgical Phase Recognition

In this paper we introduce OperA, a transformer-based model that accurat...

10 Tobias Czempiel, et al. ∙

∙ 03/30/2020

Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning

In this paper we introduce the first reinforcement learning (RL) based r...

11 Hannes Hase, et al. ∙

∙ 11/18/2019

Radar Emitter Classification with Attribute-specific Recurrent Neural Networks

Radar pulse streams exhibit increasingly complex temporal patterns and c...

0 Paolo Notaro, et al. ∙

∙ 11/18/2019

Signal Clustering with Class-independent Segmentation

Radar signals have been dramatically increasing in complexity, limiting ...

0 Stefano Gasperini, et al. ∙

∙ 04/09/2019

End-to-End Learning-Based Ultrasound Reconstruction

Ultrasound imaging is caught between the quest for the highest image qua...

0 Walter Simson, et al. ∙

∙ 04/05/2019

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

In this paper, we propose a novel interpretation method tailored to hist...

0 Magdalini Paschali, et al. ∙

∙ 04/05/2019

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

Model architectures have been dramatically increasing in size, improving...

0 Magdalini Paschali, et al. ∙

∙ 01/14/2019

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

In this paper we propose a novel augmentation technique that improves no...

0 Magdalini Paschali, et al. ∙

∙ 03/23/2018

Generalizability vs. Robustness: Adversarial Examples for Medical Imaging

In this paper, for the first time, we propose an evaluation method for d...

0 Magdalini Paschali, et al. ∙

∙ 03/16/2017

Learning Robust Hash Codes for Multiple Instance Image Retrieval

In this paper, for the first time, we introduce a multiple instance (MI)...

0 Sailesh Conjeti, et al. ∙

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