Browsing VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine by Subject "Computing methodologies"
Now showing items 1-6 of 6
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Bio-Sketch: A New Medium for Interactive Storytelling Illustrated by the Phenomenon of Infection
(The Eurographics Association, 2023)In the field of biology, digital illustrations play a crucial role in conveying complex phenomena, allowing for idealized shapes and motion, in contrast to data visualization. In the absence of suitable media, scientists ... -
CDF-Based Importance Sampling and Visualization for Neural Network Training
(The Eurographics Association, 2023)Training a deep neural network is computationally expensive, but achieving the same network performance with less computation is possible if the training data is carefully chosen. However, selecting input samples during ... -
NeRF for 3D Reconstruction from X-ray Angiography: Possibilities and Limitations
(The Eurographics Association, 2023)Neural Radiance Field (NeRF) is a promising deep learning technique based on neural rendering for three-dimensional (3D) reconstruction. This technique has overcome several limitations of 3D reconstruction techniques, such ... -
Neural Deformable Cone Beam CT
(The Eurographics Association, 2023)In oral and maxillofacial cone beam computed tomography (CBCT), patient motion is frequently observed and, if not accounted for, can severely affect the usability of the acquired images. We propose a highly flexible, data ... -
Resectograms: Real-Time 2D Visualization of Liver Virtual Resections
(The Eurographics Association, 2023)Visualization of virtual resections plays a central role in computer-assisted liver surgery planning. The complexity of the liver's internal structures often leads to difficulties in its proper visualization during the ... -
Visual Analytics to Support Treatment Decisions in Late-Stage Melanoma Patients
(The Eurographics Association, 2023)We present a visual analytics system to support treatment decisions in late-stage Melanoma patients. With the aim of improving patient outcomes, personalized treatment decisions based on individual characteristics and ...