Search Results for author: Mohammad Farid Azampour

Found 8 papers, 5 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

Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging

no code implementations25 Jan 2023 Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers, Benjamin Busam, Mehrdad Salehi, Nassir Navab

In our work, we discuss direction-dependent changes in the scene and show that a physics-inspired rendering improves the fidelity of US image synthesis.

Image Generation Neural Rendering

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

A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration

1 code implementation CVPR 2022 Daniel Grzech, Mohammad Farid Azampour, Ben Glocker, Julia Schnabel, Nassir Navab, Bernhard Kainz, Loïc le Folgoc

We propose a novel variational Bayesian formulation for diffeomorphic non-rigid registration of medical images, which learns in an unsupervised way a data-specific similarity metric.

Image Registration

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)

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