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Martijn P. A. Starmans's Projects

aiptoolbox icon aiptoolbox

Python toolbox for the Advanced Image Processing (AIP) masters course TM11005 in the clinical technology MSc of the Medical Delta.

cirguidanceradiomics icon cirguidanceradiomics

Scripts to compute the radiomics features and fit the machine learning models as presented in the paper "Optimization of preoperative lymph node staging in patients with muscle-invasive bladder cancer using radiomics on computed tomography." by M. P. A. Starmans et al. 2021.

clmradiomics icon clmradiomics

Scripts to compute the features and develop the models from the paper "Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study .", M.P.A. Starmans, F. E. Buisman et al. 2021.

dmradiomics icon dmradiomics

Scripts to compute the features and fit radiomics models as used in the paper "Differential diagnosis and mutation stratification of desmoid tumors on MRI using a radiomics approach." M. J. M. Timbergen, M. P. A. Starmans et al. 2020.

gistradiomics icon gistradiomics

Scripts to compute the features and fit radiomics models as used in the paper "Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach." M. P. A. Starmans, M. J. M. Timbergen et al..

h-denseunet icon h-denseunet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

lectures icon lectures

repository with the lectures for MLSS Skoltech

liporadiomicsfeatures icon liporadiomicsfeatures

Script to compute the features used in the paper: Vos, M., Starmans, M. P. A., Timbergen, M. J. M., van der Voort, S. R., Padmos, G. A., Kessels, W., ... & Visser J.J.. (2019). Radiomics approach to distinguish between well differentiated liposarcomas and lipomas on MRI. The British journal of surgery, 106(13), 1800.

liverradiomics icon liverradiomics

Scripts to compute the radiomics features and fit the machine learning models as presented in the paper "Automated differentiation of malignant and benign primary solid liver lesions in non-cirrhotic livers on MRI: an externally validated radiomics model." by M. P. A. Starmans et al. 2021.

melaradiomics icon melaradiomics

Scripts to compute the radiomics features and fit the machine learning models as presented in the paper "The BRAF P.V600E Mutation Status of Melanoma Lung Metastases Cannot Be Discriminated on Computed Tomography by LIDC Criteria nor Radiomics Using Machine Learning." by L. Angus and M. P. A. Starmans et al. 2021.

mesentericradiomics icon mesentericradiomics

Scripts to compute the features and fit radiomics models as used in the paper: Blazevic, A., Starmans, M. P. A., Brabander, T., Dwarkasingh, R., van Gils, R., Hofland, J., Franssen, G. J., Feelders, R. A., Niessen, W. J., Klein, S., & de Herder, W. W. (2021). Predicting symptomatic mesenteric mass in neuroendocrine tumors using radiomics, Endocrine-Related Cancer, ERC-21-0064.

multislice icon multislice

Multi-slice CNN designed to classify heterogeneous medical images, in particular with large and variable slice thicknesses. The network can take any number of slices as input, thanks to a flexible architecture. Similar 2D and 3D CNNs are provided for comparison.

pyradiomics icon pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

smac3worc icon smac3worc

Sequential Model-based Algorithm Configuration

starter-hugo-academic icon starter-hugo-academic

🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

tutorials icon tutorials

repository with the tutorials for MLSS Skoltech

worc icon worc

Workflow for Optimal Radiomics Classification

worcdatabase icon worcdatabase

Code to reproduce the experiments as described in the paper "Reproducible radiomics through automated machine learning validated on twelve clinical applications", Starmans et al. 2021, In Preparation

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