Pinned Repositories
3D-CNN-PyTorch
PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).
batuhankmkaraman.github.io
Personal webpage of Batuhan Karaman
Efficient-3DCNNs
PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.
EfficientNet-PyTorch-3D
A PyTorch implementation of EfficientNet
gradient-descent-the-ultimate-optimizer
Code for our NeurIPS 2022 paper
LoMaR
Code for the paper titled "Longitudinal Mammogram Risk Prediction"
LongForMAD
Code for the paper titled "Assessing the significance of longitudinal data in Alzheimer's Disease forecasting".
medicaltorch
A medical imaging framework for Pytorch
Mirai
This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.
mlbasedad
Code for the paper titled "Machine learning based multi-modal prediction of future decline toward Alzheimer’s disease: An empirical study"
batuhankmkaraman's Repositories
batuhankmkaraman/mlbasedad
Code for the paper titled "Machine learning based multi-modal prediction of future decline toward Alzheimer’s disease: An empirical study"
batuhankmkaraman/LoMaR
Code for the paper titled "Longitudinal Mammogram Risk Prediction"
batuhankmkaraman/LongForMAD
Code for the paper titled "Assessing the significance of longitudinal data in Alzheimer's Disease forecasting".
batuhankmkaraman/3D-CNN-PyTorch
PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).
batuhankmkaraman/batuhankmkaraman.github.io
Personal webpage of Batuhan Karaman
batuhankmkaraman/Efficient-3DCNNs
PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.
batuhankmkaraman/EfficientNet-PyTorch-3D
A PyTorch implementation of EfficientNet
batuhankmkaraman/gradient-descent-the-ultimate-optimizer
Code for our NeurIPS 2022 paper
batuhankmkaraman/medicaltorch
A medical imaging framework for Pytorch
batuhankmkaraman/Mirai
This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.
batuhankmkaraman/SynthSeg
Contrast-agnostic segmentation of MRI scans