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Found 6 papers, 3 papers with code
Graph data modelling for outcome prediction in oropharyngeal cancer patients
Graph neural networks (GNNs) are becoming increasingly popular in the medical domain for the tasks of disease classification and outcome prediction.
Non-Rigid Volume to Surface Registration using a Data-Driven Biomechanical Model
In this work, we train a convolutional neural network to perform both the search for surface correspondences as well as the non-rigid registration in one step.
Robust Medical Instrument Segmentation Challenge 2019
The validation of the competing methods for the three tasks (binary segmentation, multi-instance detection and multi-instance segmentation) was performed in three different stages with an increasing domain gap between the training and the test data.
2018 Robotic Scene Segmentation Challenge
In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward kinematics and instrument CAD models.
Assessing robustness of radiomic features by image perturbation
Thus, this perturbation chain may be used to assess feature robustness.
Image biomarker standardisation initiative
The image biomarker standardisation initiative (IBSI) is an independent international collaboration which works towards standardising the extraction of image biomarkers from acquired imaging for the purpose of high-throughput quantitative image analysis (radiomics).
