jebibault

Physician-Scientist | Radiation Oncologist in Paris | Stanford Alumnus

Paris

Pinned Repositories

CancerSatellite
Code and scripts for our paper on cancer prevalence prediction using only satellite images
Language:Python5 1 12
CRCSurvival
Model to predict 10-year cancer-specific survival in colorectal cancer patients.
Language:Python1 1 00
DeepRadiomicsRectalCancer
Code, parameters and scripts used for our study predicting pathologic complete response after neo-adjuvant chemoradiation for locally advanced rectal cancer
Language:R2 1 00
doMreps
doMreps is a wrapper to mreps. It search and count for Internal Tandem Duplication in fastQ file from NGS
Language:C0 1 00
doMreps-Mac-OS-X-Darwin
doMreps for Mac OS X / Darwin
Language:C0 1 00
LungCancer
Models to predict the risk of lung cancer diagnosis and death
Language:Python0 1 00
ProstateCancerSurvival
Model to predict 10-year prostate cancer survival.
Language:Python00
Radiation-Oncology-Structures-Ontology
This ontology describes commonly contoured (anatomical and treatment planning) structures for radiation treatment planning. Lymph nodes delineation international guidelines are provided. This ontology was created to ease and standardize the integration of radiation oncology data into clinical datawarehouses for multicentric studies.
3 2 02
doMreps
doMreps is a wrapper to mreps. It search and count for Internal Tandem Duplication in fastQ file from NGS
Language:C2 3 02

jebibault/CancerSatellite
Code and scripts for our paper on cancer prevalence prediction using only satellite images
Language:Python5 1 12
jebibault/Radiation-Oncology-Structures-Ontology
This ontology describes commonly contoured (anatomical and treatment planning) structures for radiation treatment planning. Lymph nodes delineation international guidelines are provided. This ontology was created to ease and standardize the integration of radiation oncology data into clinical datawarehouses for multicentric studies.
3 2 02
jebibault/DeepRadiomicsRectalCancer
Code, parameters and scripts used for our study predicting pathologic complete response after neo-adjuvant chemoradiation for locally advanced rectal cancer
Language:R2 1 00
jebibault/CRCSurvival
Model to predict 10-year cancer-specific survival in colorectal cancer patients.
Language:Python1 1 00
jebibault/doMreps
doMreps is a wrapper to mreps. It search and count for Internal Tandem Duplication in fastQ file from NGS
Language:C0 1 00
jebibault/doMreps-Mac-OS-X-Darwin
doMreps for Mac OS X / Darwin
Language:C0 1 00
jebibault/LungCancer
Models to predict the risk of lung cancer diagnosis and death
Language:Python0 1 00
jebibault/ProstateCancerSurvival
Model to predict 10-year prostate cancer survival.
Language:Python00