bhaswara

bhaswara's Stars

• tzofi/ssl-for-axons

  Self-Supervised Feature Extraction for 3D Axon Segmentation

  Language:Python7

• kabbas570/CAMS-Net

  This repo contains code for Convolutional Neural Networks (CNNs) and Transformer-based self-attention models have become standard for medical image segmentation method.

  Language:Python4

• YuHengsss/VSSD

  Introduce Mamba2 to Vision.

  Language:Python936

• cesaracebes/centerline_CE

  The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy

  Language:Python8

• tianrun-chen/xLSTM-UNet-PyTorch

  Replacing Mamba with xLSTM! It works better. We show that xLSTM-Unet can be an effective semantic segmentation backbone.

  Language:Python13412

• PengchengShi1220/cbDice

  [MICCAI 2024] Centerline Boundary Dice Loss for Vascular Segmentation

  Language:Python514

• CYB08/MambaClinix-PyTorch

  MambaClinix: Hierarchical Gated Convolution and Mamba-Structured UNet for Enhanced 3D Medical Image Segmentation

  Language:Python9

• MrYxJ/calculate-flops.pytorch

  The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)

  Language:Python57021

• MIC-DKFZ/Skeleton-Recall

  Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures

  Language:Python725

• bbyhnu/SGSNet

  The source code of the proposed SGSNet

  Language:Python3

• OSUPCVLab/SegFormer3D

  Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation (CVPRW 2024)

  Language:Python7613

• MIC-DKFZ/nnUNet

  Language:Python5.9k1.8k

• serre-lab/hgru-pytorch

  hGRU implemented in Pytorch

  Language:Python65

• Amshaker/unetr_plus_plus

  [IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

  Language:Python37137

• Amshaker/GroupMamba

  Official implementation of paper titled "GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model"

  Language:Python613

• charrywhite/elastic_interaction_based_loss

  Code for MICCAI2020 paper "An Elastic Interaction-Based Loss Function for Medical Image Segmentation"

  Language:Python387

• ivan-pua/automatic-labeling-heart-vessels

  Research Paper - Automated Labelling of Coronary Vessels via Neural Network

  Language:Jupyter Notebook10

• ShellRedia/SAM-OCTA

  Language:Python352

• htcr/sam_road

  Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

  Language:Python14818

• gozsari/Awesome-GNN-based-drug-discovery

  This is a curated list of research papers, resources and tools related to using Graph Neural Networks (GNNs) for drug discovery.

  437

• mirzaim/VisionGNN

  This repository aims to replicate the "Vision GNN: An Image is Worth Graph of Nodes" paper.

  Language:Python133

• xuuuuuuchen/Active-Contour-Loss

  Implementation of active contour loss function

  Language:Python20034

• y406539259/DeepGuidance

  Deep Guidance Network for Biomedical Image Segmentation

  Language:Python112

• lar-unibo/ariadne_plus

  Implementation of "Ariadne+: Deep Learning-based Augmented Framework for the Instance Segmentation of Wires", IEEE Transactions on Industrial Informatics 2022

  Language:Python165

• ilyas-sid/SoftFrangiFilter2D

  Implementation of the soft 2D Frangi filter on Pytorch

  Language:Python9

• PengchengShi1220/NexToU

  NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation

  Language:Python582

• iMED-Lab/CS-Net

  CS-Net (MICCAI 2019) and CS2-Net (MedIA 2020)

  Language:Python9520

• MedICL-VU/Vector-Field-Transformer

  VFT is a domain generalization model for retinal vessel segmentation that trained on fundus image and test on OCT-A

  Language:Python132

• hunto/LocalMamba

  Code for paper LocalMamba: Visual State Space Model with Windowed Selective Scan

  Language:Python20412

• PierreRouge/Cascaded-U-Net-for-vessel-segmentation

  Code associated with the paper Cascaded Multitask U-Net using topological loss for vessel segmentation and centerline extraction

  Language:Python17