jonas-amme
PhD Student in Artificial Intelligence | Computer Vision | Digital Pathology | Medical Decision Making
Technische Hochschule IngolstadtIngolstadt, Germany
Pinned Repositories
Cox_AMIL
Code for our BVM workshop submission "Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays"
Cross_Validation
Train a CNN-based mitosis classification model using cross-validation
Exact
An open source online platform for collaborative image labeling of almost everything
FakeNewsDetection
Fake News Detection on Twitter using Graph Deep Learning
FakeNewsNet
This is a dataset for fake news detection research
GCNN
The Pytorch Implementation of GCNN model from paper Fake News Detection on Social Media using Geometric Deep Learning
NuClick
Interactive Segmentation of Nucleus
pl_YOLO
YOLOv7, YOLOX and YOLOv5 are working right now
PyTorch-Simple-MaskRCNN
A PyTorch implementation of simple Mask R-CNN
WsiRegistration
Robust quad-tree based registration on whole slide images
jonas-amme's Repositories
jonas-amme/Cross_Validation
Train a CNN-based mitosis classification model using cross-validation
jonas-amme/FakeNewsDetection
Fake News Detection on Twitter using Graph Deep Learning
jonas-amme/Exact
An open source online platform for collaborative image labeling of almost everything
jonas-amme/FakeNewsNet
This is a dataset for fake news detection research
jonas-amme/GCNN
The Pytorch Implementation of GCNN model from paper Fake News Detection on Social Media using Geometric Deep Learning
jonas-amme/NuClick
Interactive Segmentation of Nucleus
jonas-amme/pl_YOLO
YOLOv7, YOLOX and YOLOv5 are working right now
jonas-amme/PyTorch-Simple-MaskRCNN
A PyTorch implementation of simple Mask R-CNN
jonas-amme/RadiologyReportValidation
The code of Improving Factual Completeness and Consistency of Image-to-text Radiology Report Generation
jonas-amme/WsiRegistration
Robust quad-tree based registration on whole slide images
jonas-amme/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
jonas-amme/Yolov7-training
A clean, modular implementation of the Yolov7 model family, which uses the official pretrained weights, with utilities for training the model on custom (non-COCO) tasks.