Maloca, Peter M Williams, Emily A Mushtaq, Faisal Rueppel, Andreas Müller, Philipp L Lange, Clemens de Carvalho, Emanuel R Inglin, Nadja Reich, Michael Egan, Catherine
...
Published in
Acta ophthalmologica
Virtual reality (VR) can be useful in explaining diseases and complications that affect children in order to improve medical communications with this vulnerable patient group. So far, children and young people's responses to high-end medical VR environments have never been assessed. An unprecedented number of 320 children and young people were give...
Jadhav, Shreeraj Deng, Gaofeng Zawin, Marlene Kaufman, Arie E
Published in
IEEE transactions on visualization and computer graphics
Significant work has been done towards deep learning (DL) models for automatic lung and lesion segmentation and classification of COVID-19 on chest CT data. However, comprehensive visualization systems focused on supporting the dual visual+DL diagnosis of COVID-19 are non-existent. We present COVID-view, a visualization application specially tailor...
Chen, Zhennong Contijoch, Francisco Colvert, Gabrielle M Manohar, Ashish Kahn, Andrew M Narayan, Hari K McVeigh, Elliot
BackgroundThe presence of left ventricular (LV) wall motion abnormalities (WMA) is an independent indicator of adverse cardiovascular events in patients with cardiovascular diseases. We develop and evaluate the ability to detect cardiac wall motion abnormalities (WMA) from dynamic volume renderings (VR) of clinical 4D computed tomography (CT) angio...
Dunn, Kenneth W.
Published in
Frontiers in Physiology
The scale and complexity of images collected in biological microscopy have grown enormously over the past 30 years. The development and commercialization of multiphoton microscopy has promoted a renaissance of intravital microscopy, providing a window into cell biology in vivo. New methods of optical sectioning and tissue clearing now enable biolog...
ŠMALJCELJ, ALJAŽ
Upodabljanje volumetričnih podatkov igra ključno vlogo v sodobni družbi, vendar je vse prej kot lahko. Pogosto si želimo fizikalno pravilne upodobitve, med katere spada lom svetlobe v primeru, ko imamo znotraj volumna tekočino. V tem delu predstavimo način generiranja in simulacijo tekočine znotraj volumna za doseg izzvenelosti. Volumen sestavlja v...
Vicini, Delio Jakob, Wenzel Kaplanyan, Anton
We introduce a novel transmittance model to improve the volumetric representation of 3D scenes. The model can represent opaque surfaces in the volumetric light transport framework. Volumetric representations are useful for complex scenes, and become increasingly popular for level of detail and scene reconstruction. The traditional exponential trans...
Yamane, Hideo Konishi, Kazuo Anniko, Matti
Published in
Acta oto-laryngologica
There have been no useful imaging methods to diagnose benign paroxysmal positional vertigo (BPPV), a common cause of vertigo, depending on the characteristic symptom. To visualize horizontal canal (HC) BPPV using 3DCT and assess its clinical usefulness. Ten BPPV patients were diagnosed with distinct BPPV, canalolithiasis, and cupulolithiasis of the...
Naeem, Muhammad Qasim Darira, Jaideep Ahmed, Muhammad Saad Hamid, Kamran Ali, Muhammad Shazlee, Muhammad Kashif
Published in
Cureus
Introduction Lung cancer is the most common cancer overall, and the foremost cause of cancer-related mortality. Almost all lung cancers evolve from pulmonary nodules. As multidetector CT (MDCT) scanners are now widely available, there is an increased rate of detection of pulmonary nodules. It is of utmost importance to evaluate pulmonary nodules to...
Hänel, Claudia
The visual analysis of structural brain data is an important method to understand the basics of anatomy, relationships of structures, and functionality of the brain. While the data are three-dimensional by their nature, many visual analysis tools focus on two-dimensional visualization. This thesis emphasizes the spatial aspect of the data and prese...
Werner, Christoph
I present an extension to the iNeRF (inverting Neural Radianc Fields) framework, which allows mesh-free 6DoF pose estimation even on previously unseen appearance variations of known objects from RGB-only inputs in near real-time. The iterative analysis-by-synthesis approach of iNeRF uses Neural Radiance Fields (NeRFs) to render photorealistic views...
