Search Results for author: Walter Simson

Found 10 papers, 4 papers with code

LOTUS: Learning to Optimize Task-based US representations

1 code implementation29 Jul 2023 Yordanka Velikova, Mohammad Farid Azampour, Walter Simson, Vanessa Gonzalez Duque, Nassir Navab

Anatomical segmentation of organs in ultrasound images is essential to many clinical applications, particularly for diagnosis and monitoring.

Image Generation Segmentation

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

no code implementations17 May 2023 Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Romiger, Kuangyu Shi, Nassir Navab, Thomas Wendler

Dynamic positron emission tomography imaging (dPET) provides temporally resolved images of a tracer enabling a quantitative measure of physiological processes.

Self-Supervised Learning

Spotlight on nerves: Portable multispectral optoacoustic imaging of peripheral nerve vascularization and morphology

no code implementations28 Jul 2022 Dominik Jüstel, Hedwig Irl, Florian Hinterwimmer, Christoph Dehner, Walter Simson, Nassir Navab, Gerhard Schneider, Vasilis Ntziachristos

Various morphological and functional parameters of peripheral nerves and their vascular supply are indicative of pathological changes due to injury or disease.

CACTUSS: Common Anatomical CT-US Space for US examinations

1 code implementation18 Jul 2022 Yordanka Velikova, Walter Simson, Mehrdad Salehi, Mohammad Farid Azampour, Philipp Paprottka, Nassir Navab

Abdominal aortic aneurysm (AAA) is a vascular disease in which a section of the aorta enlarges, weakening its walls and potentially rupturing the vessel.

Image-to-Image Translation Segmentation

Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning

3 code implementations30 Mar 2020 Hannes Hase, Mohammad Farid Azampour, Maria Tirindelli, Magdalini Paschali, Walter Simson, Emad Fatemizadeh, Nassir Navab

In this paper we introduce the first reinforcement learning (RL) based robotic navigation method which utilizes ultrasound (US) images as an input.

reinforcement-learning Reinforcement Learning (RL)

TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks

2 code implementations24 Mar 2020 Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab

Automatic surgical phase recognition is a challenging and crucial task with the potential to improve patient safety and become an integral part of intra-operative decision-support systems.

Surgical phase recognition

End-to-End Learning-Based Ultrasound Reconstruction

no code implementations9 Apr 2019 Walter Simson, Rüdiger Göbl, Magdalini Paschali, Markus Krönke, Klemens Scheidhauer, Wolfgang Weber, Nassir Navab

The proposed method displays both promising image reconstruction quality and acquisition frequency when integrated for live ultrasound scanning.

Image Reconstruction

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

no code implementations14 Jan 2019 Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Muhammad Ferjad Naeem, Rüdiger Göbl, Christian Wachinger, Nassir Navab

Compared with traditional augmentation methods, and with images synthesized by Generative Adversarial Networks our method not only achieves state-of-the-art performance but also significantly improves the network's robustness.

Data Augmentation General Classification +3

Cannot find the paper you are looking for? You can Submit a new open access paper.