Alternatives and similar repositories for MultiTalent

Users that are interested in MultiTalent are comparing it to the libraries listed below

• yhygao / universal-medical-image-segmentation
  ☆71Updated last year
• xmed-lab / TriALS
  MICCAI 2024/2025: nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for segmentat…
  ☆96Updated last month
• uni-medical / A-Eval
  MedIA 2025 | A-Eval: A Benchmark for Cross-Dataset and Cross-Modality Evaluation of Abdominal Multi-Organ Segmentation
  ☆30Updated 4 months ago
• alibaba-damo-academy / pixel-lesion-patient-network
  ☆31Updated last year
• YutingHe-list / GVSL
  ☆63Updated last year
• PengchengShi1220 / cbDice
  [MICCAI 2024] Centerline Boundary Dice Loss for Vascular Segmentation
  ☆64Updated 6 months ago
• Luoxd1996 / RAOS
  [MICCAI2024] Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging …
  ☆47Updated 11 months ago
• MECLabTUDA / Lifelong-nnUNet
  ☆149Updated 2 weeks ago
• alibaba-damo-academy / self-supervised-anatomical-embedding-v2
  ☆69Updated last year
• TopoXLab / TopoInteraction
  This repository contains the implementation for our work "Learning Topological Interactions for Multi-Class Medical Image Segmentation", …
  ☆81Updated last year
• moucheng2017 / EM-BPL-Semi-Seg
  [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
  ☆40Updated 2 months ago
• shangqigao / BayeSeg
  The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmen…
  ☆40Updated 2 years ago
• PengchengShi1220 / NexToU
  NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation
  ☆72Updated 5 months ago
• himashi92 / Co-BioNet
  [Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric M…
  ☆74Updated last year
• lemoshu / MTCL
  [MICCAI21, TMI22] Mean-Teacher-Assisted Confident Learning
  ☆76Updated last year
• llmir / MultitaskOCTA
  This repository is an official PyTorch implementation of the paper "BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framewor…
  ☆29Updated 2 years ago
• HiLab-git / WORD
  [MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
  ☆159Updated 10 months ago
• MrGiovanni / Touchstone
  [NeurIPS 2024] Touchstone - Benchmarking AI on 5,172 o.o.d. CT volumes and 9 anatomical structures
  ☆120Updated 3 weeks ago
• Luoxd1996 / MSHub
  MSHub: Medical Image Segmentation Hub with Pre-trained nnUNets
  ☆23Updated 4 months ago
• mariannerakic / Tyche
  ☆48Updated last year
• M3DV / RibSeg
  [MICCAI'21 & TMI'23] RibSeg Dataset and Point Cloud Baselines for Rib Segmentation from CT Scans
  ☆64Updated 6 months ago
• yeerwen / UniSeg
  MICCAI 2023 Paper (Early Acceptance)
  ☆186Updated last year
• BWGZK / ShapePU
  [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation
  ☆37Updated 3 years ago
• bwittmann / transoar
  A 3D medical Detection Transformer library. Papers accepted @ MIDL22 & MELBA23/02.
  ☆65Updated last year
• sunfan-bvb / BoundaryDoULoss
  Code for Boundary Difference Over Union Loss For Medical Image Segmentation
  ☆55Updated 2 years ago
• yifangao112 / DeSAM
  [MICCAI 2024] The official repository for DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation.
  ☆130Updated 5 months ago
• MrGiovanni / RadGPT
  [ICCV 2025] AbdomenAtlas 3.0 (9,262 CT volumes + medical reports). These “superhuman” reports are more accurate, detailed, standardized, …
  ☆98Updated last week
• Luoxd1996 / nnunet_mini
  ☆21Updated 2 years ago
• uni-medical / MedIM
  One-line code to get SoTA pre-trained Medical Image Models ready in PyTorch.
  ☆40Updated 3 months ago
• MediaBrain-SJTU / BE-SSL
  Codes for our paper "Boundary-Enhanced Self-Supervised Learningfor Brain Structure Segmentation"
  ☆23Updated 2 years ago