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3d-vis-tutorial

Materials for AR/VR tutorial presented at CARS 2019, Rennes, FR.

amino-acids-card-game

An open-source mnemonic card game for amino acids (aa). It essentially relies on a simplified molecular representation, redundant visual encoding, emphasis, and de-emphasis of molecular parts.

banana-physics

Physics gone bananas! A set of A7 cards to learn some of the most used physical constants.

biomechanic_depth_matching

Prototype implementation for the biomechanic soft-tissue registration.

capt

Context-Aware Phylogenetic Trees for Phylogeny-based Taxonomy Visualization

cmangoes

A parametric approach for molecular encodings using multilevel atomic neighborhoods applied to peptide classification

cycasp

CYCASP is a methodology for investigating and understanding (C)olon(Y) growth and (C)ell (A)ttributes at the population level. It couples (SP)atiotemporal changes by relying on two novel data abstractions and a modular algorithm.

evalpbsm

Evaluation of volume-to-surface non-rigid registration using the PBSM method

ican

Interpretable Carbon-based Array of Neighborhoods

kidney-edge-detection

(KiBo-Net) Kidney edge detection in laparoscopic image data for computer-assisted surgery

ml-seg

modelar

MODELAR: MODular and EvaLuative framework to improve surgical Augmented Reality visualization

movis

MOVIS: A Multi-Omics Software Solution for Multi-modal Time-Series Clustering, Embedding, and Visualizing Tasks, by Aleksandar Anžel, Dominik Heider, and Georges Hattab

secondarydata

Bookbased mushroom data set, describing physical characteristics, binary classification in poisonous or edible.

seevis

SeeVIS is a (S)egmentation-fr(ee) (VIS)ualization pipeline for time-lapse image data. It comprises three steps: 1. preprocessing, 2. feature extraction, and 3. an extended version of the space time cube with three novel color mappings adapted to cell colony growth.

user-study

Investigating the utility of VR for spatial understanding in surgical planning: evaluation of head-mounted to desktop display

vicar

ViCAR extracts and employs (Vi)sual (C)ues for an (A)daptive (R)egistration of time-lapse image data recorded in microfluidic devices.

visguides-workshop.github.io