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2015_face_detection

CVPR2015 Cascade CNNs for Face Detection

3d_denseseg

The implementation of 3D_DenseSeg for infant brain MRI segmentation

abide

ABIDE Preprocessed Initiative

accseg-net

Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth (MICCAI 2021)

acrn_chest_x-ray_ia

Learning Deformable Registration of Medical Images with Anatomical Constraints

acta-reg-net

An Auto-Context based Tissue-Aware Deformable Registration Network (ACTA-Reg-Net) for Infant Brain MR Images

adhd200

scripts to process the ADHD200 dataset

adhd200-1

ADHD200 preprocessed

adhd_dl

Diction Learning on ADHD200

adversarialnetspapers

aga

Attribute-Guided Augmentation

an-unsupervised-learning-bidirectional-3d-image-registration

The model contains 1 encoder and 2 decoders for bidirectional (source -> target, target -> source) 3D images registration with skip connections like Unet.

anatomysketch-software

A medical image segmentation software supporting user interventions and user-defined funtion extention

ants

Advanced Normalization Tools (ANTs)

antspy

Advanced Normalization Tools in Python

antsx

attention-enriched-deep-learning-model-for-breast-tumor-segmentation

Salient attention U-Net model for tumor segmentation in breast ultrasound images, based on visual saliency maps

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

attributedsbm

Fits an attributed stochastic block model for networks with multiple continuous attributes

autoencoder-registration

Large-scale 3D image registration based on spatial transformers and stacked convolutional autoencoders

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-image-registration

image registration related books, papers, videos, and toolboxes

birl

BIRL: Benchmark on Image Registration methods with Landmark validations

boxplot

boxplot-1

Investigation and usage of Boxplots

brain-tissue-segmentation-using-deep-learning-pipeline-neuronet

This Repository is for the MISA Course final project which was Brain tissue segmentation. we adopt NeuroNet which is a comprehensive brain image segmentation tool based on a novel multi-output CNN architecture which has been trained and tuned using IBSR18 dataset

brainprep

Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.

brainstools

A suite of tools for medical image processing focused on brain analysis

breast-cancer-detection-from-ultra-sound-images

SmartKnower internship major project

caffe-heatmap

Caffe with heatmap regression & spatial fusion layers. Useful for any CNN image position regression task.