Pinned Repositories
fd-shifts
A Benchmark for Failure Detection under Distribution Shifts in Image Classification
batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
nnUNet
MITK
The Medical Imaging Interaction Toolkit.
ACDC2017
MONAI
AI Toolkit for Healthcare Imaging
probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
prostate_segmentation
This project was carried out as part of the recruitment processs for a major AI company. The task was to implement a model for CG and PZ Prostate segementation on T2-weighted MR images. Project time were 7 days.
trixi
Manage your machine learning experiments with Trixi - high-fashion and the pythonic way.
pfjaeger's Repositories
pfjaeger/prostate_segmentation
This project was carried out as part of the recruitment processs for a major AI company. The task was to implement a model for CG and PZ Prostate segementation on T2-weighted MR images. Project time were 7 days.
pfjaeger/probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
pfjaeger/trixi
Manage your machine learning experiments with Trixi - high-fashion and the pythonic way.
pfjaeger/ACDC2017
pfjaeger/batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
pfjaeger/MONAI
AI Toolkit for Healthcare Imaging
pfjaeger/kaapana
Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.
pfjaeger/nnDetection
pfjaeger/pytorch-mask-rcnn