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deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dmaot-vots2023

DMAOT ranked 1st in the VOTS 2023 challenge.

dpa

[CVPR 2024] Dual Prototype Attention for Unsupervised Video Object Segmentation

ds-transunet

This repository contains the official code of DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation

dsntnn

PyTorch implementation of DSNT

duck-net

Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )

dvis

DVIS: Decoupled Video Instance Segmentation Framework

dvis_plus

VSS - Great Work

e-osvos

Implementation of "Make One-Shot Video Object Segmentation Efficient Again” and the semi-supervised fine-tuning "e-OSVOS" approach (NeurIPS 2020).

e2ec

E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

echo-caranet

Implementation of a novel U-Net-based deep learning model (CaraNet) to develop a method for automatically generating accurate left ventricle segmentations on echocardiogram ultrasounds. Part of a project in the Division of AI Research at QMIND (https://qmind.ca/).

echoclr

"Self-supervised contrastive learning of echocardiogram videos enables label-efficient cardiac disease diagnosis" by Gregory Holste, Evangelos Oikonomou, Bobak Mortazavi, Zhangyang Wang, and Rohan Khera

echodiffusion

MICCAI 2023 code for the paper: Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis. EchoDiffusion is a collection of video diffusion models trained from scratch on the EchoNet-Dynamic dataset with the imagen-pytorch repo.

echoglad

EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms

echographs

[MICCAI 2022] The official repository of Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound. Project page: https://guybenyosef.github.io/EchoGraphs/

echonet-ped

echotracker

Point Tracking in Echocardiography.

echo_clip

echo_reference_one

"Fully automated multi-heartbeat echocardiography video segmentation and motion tracking".

efficient-ai-backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

eg3d

Efficient Geometry-aware 3D Generative Adversarial Networks (EG3D)

eld

Spatial landmark detection and tissue registration with deep learning

emcad

etab

A Benchmark Suite for Visual Representation Learning in Echocardiography

etc-videoseg

Enforcing temporal consistency in real-time per-frame semantic video segmentation

fcbformer

Official code repository for: FCN-Transformer Feature Fusion for Polyp Segmention (MIUA 2022 paper)

featup

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

finetune-sam

This is an official repo for fine-tuning SAM to customized medical images.

flowmag

Official code for NeurIPS 2023 paper "Self-Supervised Motion Magnification by Backpropagating Through Optical Flow"