DIDSR (Aldo Badano, Director)

DIDSR

FDA, CDRH, OSEL, Division of Imaging, Diagnostics, and Software Reliability

United States of America

https://www.fda.gov/about-fda/cdrh-offices/division-imaging-diagnostics-and-software-reliability

DIDSR (Aldo Badano, Director)'s repositories

VICTRE

Virtual Imaging Clinical Trial for Regulatory Evaluation

Language:PythonCC0-1.066 14 17

MCGPU

GPU-accelerated Monte Carlo x-ray transport code to simulate medical x-ray imaging devices.

Language:HTML56 4 17

VICTRE_MCGPU

Version of MC-GPU used in the VICTRE project

Language:Cuda30 7 13

iMRMC

iMRMC: Software to do multi-reader multi-case analysis of reader studies

Language:JavaNOASSERTION20 12 114

VICTRE_PIPELINE

Home for the unified VICTRE pipeline for in silico breast imaging.

Language:C++CC0-1.019 3 2

eeDAP

Evaluation Environment for Digital and Analog Pathology

Language:MATLABNOASSERTION18 8 59

DomId

Deep unsupervised clustering algorithms for domain identification

Language:Jupyter Notebook10 5 1

BoneJ_Headless

Scripts for executing Fiji plugin BoneJ in headless mode in Python to compute bone microstructure metrics

Language:PythonBSD-3-Clause4 30

MCGPU-PET

Language:CudaCC0-1.04 5 1

cpr

Color Performance Review Tool for Endoscopy Devices

Language:HTMLCC0-1.03 5 6

msynth-release

Language:PythonCC0-1.03 3 1

QuCAD

Language:PythonCC0-1.03 6 1

DRAGen

A tool for the assessment of AI generalizability via decision space composition

Language:PythonCC0-1.02 30

LCD_CT

Language:MATLABCC0-1.02 4 7

mitoticFigureCounts

Mitotic figure counts study data, functions, and markdown files for Tabata2019_Diagn-Pathol_v14p65.

Language:RNOASSERTION2 4 2

DICaugment

Language:PythonMIT1 3 1

DIDSR-TiGER

Language:PythonApache-2.01 40

dldp

Language:PythonNOASSERTION1 40

MCGPUv1.3_PCD

Language:CudaCC0-1.01 30

torchsurv

Survival analysis made easy

Language:PythonMIT100

VICTRE_DM_ROIs

VICTRE - Digital Mammography Regions of Interest

1 60

AI_DEMO

Language:CSS020

DxGoals

RShiny App using risk stratification inputs to determine standalone and comparative diagnostic test accuracy goals for sensitivity, specificity, and positive likelihood ratio, and negative likelihood ratio.

Language:RCC0-1.0000

FD-based_restorable_synthesis

Language:MATLABGPL-3.0050

HIMSPEC

Language:MATLAB030

HTT.home

High-throughput truthing project home page

Language:HTMLCC0-1.002 15

mpi_sfrc

sFRC: To identify fakes in medical images recovered using AI

Language:Python020

QuCAD-multi

Language:PythonCC0-1.0000

ValidPath

Whole Slide Image Processing Toolbox

Language:Jupyter Notebook040

WebXR-tools

Language:JavaScriptUnlicense03 8