pradeeplam's Stars
microsoft/Web-Dev-For-Beginners
24 Lessons, 12 Weeks, Get Started as a Web Developer
microsoft/Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
visenger/awesome-mlops
A curated list of references for MLOps
kakoni/awesome-healthcare
Curated list of awesome open source healthcare software, libraries, tools and resources.
JunMa11/MICCAI-OpenSourcePapers
MICCAI 2019-2023 Open Source Papers
MIC-DKFZ/batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
StanfordVL/taskonomy
Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]
bnu-wangxun/Deep_Metric
Deep Metric Learning
MrGiovanni/ModelsGenesis
[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis
LIVIAETS/boundary-loss
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
yinboc/few-shot-meta-baseline
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
Deep-MI/FastSurfer
PyTorch implementation of FastSurferCNN
Sha-Lab/FEAT
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
kuzand/Computer-Vision-Video-Lectures
A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.
BBillot/SynthSeg
Contrast-agnostic segmentation of MRI scans
PhoenixDL/rising
Provides everything needed for high performance data loading and augmentation in pytorch.
nipreps/mriqc
Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain
d-li14/octconv.pytorch
PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
locuslab/mdeq
[NeurIPS'20] Multiscale Deep Equilibrium Models
aramis-lab/clinica
Software platform for clinical neuroimaging studies
WenbinLee/DN4
Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.
jrieke/cnn-interpretability
🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
aramis-lab/clinicadl
Framework for the reproducible processing of neuroimaging data with deep learning methods
researchmm/DBTNet
Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"
guillaumefrd/brain-tumor-mri-dataset
Utilities to download and load an MRI brain tumor dataset with Python, providing 2D slices, tumor masks and tumor classes.
Yikai-Wang/ICI-FSL
This repository contains the code for Instance Credibility Inference (ICI).
maple-research-lab/EnAET
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
seongmin-kye/MCT
Pytorch implementation of Meta-Learned Confidence for Few-shot Learning
mpatacchiola/Y-AE
Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern Recognition Letters (2020)
nkdinsdale/Unlearning_for_MRI_harmonisation
Code for implementation of Unlearning Scanner Bias for MRI Harmonisation