Research map: TokenUNet: A new case for transformers integration in efficient and interpretable 3D UNets for brain imaging segmentation

Back to the article

Papers in this map

  1. Deep Residual Learning for Image Recognition · Kaiming He · 2016 · 229835 citations · Cited by this paper
  2. Discourse, sentiment, and resonance of workplace burnout on Chinese social media: A computational analysis · 2026 · Related
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation · Olaf Ronneberger · 2015 · 92974 citations · Cited by this paper
  4. Untargeted metabolomics as a new perspective for assessing taxonomic boundaries in alpine Rubus genus · 2026 · Related
  5. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows · Ze Liu · 2021 · 32944 citations · Cited by this paper
  6. Leveraging expression quantitative trait loci information in single-cell resolution to identify cell-specific genes for Basal cell carcinoma · 2026 · Related
  7. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization · Ramprasaath R. Selvaraju · 2017 · 23153 citations · Cited by this paper
  8. Federated parameter-free DBSCAN clustering and its application in image recognition · 2026 · Related
  9. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead · Cynthia D Rudin · 2019 · 10280 citations · Cited by this paper
  10. Factors influencing community pharmacists’ provision of health promotion and disease prevention services in Jordan: Qualitative thematic analysis and deductive mapping to the COM-B model · 2026 · Related
  11. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation · Fabian Isensee · 2020 · 9720 citations · Cited by this paper
  12. Trends in foodborne outbreaks and outbreak-associated illnesses using a Bayesian trend model – United States, 1998–2018 · 2026 · Related
  13. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) · Bjoern H. Menze · 2014 · 6872 citations · Cited by this paper
  14. Performance of PREMM5, clinical criteria, and immunohistochemistry for MMR proteins in genetic risk assessment of Mexican patients with colorectal cancer · 2026 · Related
  15. Transformers in Vision: A Survey · Salman Hameed Khan · 2022 · 3554 citations · Cited by this paper
  16. First eDNA-based monitoring of marine vertebrates in the urban marine ecosystem of Abu Dhabi: Mangrove and seagrass beds as biodiversity reservoirs? · 2026 · Related
  17. UNETR: Transformers for 3D Medical Image Segmentation · Ali Hatamizadeh · 2022 · 3214 citations · Cited by this paper
  18. Sex, age, and seasonal distribution characteristics of bacterial and fungal infections · 2026 · Related
  19. U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications · Nahian Alam Siddique · 2021 · 1966 citations · Cited by this paper
  20. Much Ado about Prompting: LLM classification of text messages from experiments · 2026 · Related
  21. Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images · Ali Hatamizadeh · 2022 · 1942 citations · Cited by this paper
  22. Multimodal biomedical AI · Julián Acosta · 2022 · 1325 citations · Cited by this paper
  23. TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers · Jieneng Chen · 2024 · 1315 citations · Cited by this paper
  24. On the information bottleneck theory of deep learning* · Andrew Saxe · 2019 · 521 citations · Cited by this paper
  25. FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness · Tri Dao · 2022 · 492 citations · Cited by this paper
  26. nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation · Fabian Isensee · 2024 · 360 citations · Cited by this paper
  27. Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging · Nishanth Arun · 2021 · 302 citations · Cited by this paper
  28. Vision Transformers in medical computer vision—A contemplative retrospection · Arshi Parvaiz · 2023 · 276 citations · Cited by this paper
  29. Deep learning based multimodal biomedical data fusion: An overview and comparative review · Junwei Duan · 2024 · 275 citations · Cited by this paper
  30. The Information Bottleneck Problem and its Applications in Machine Learning · Ziv Goldfeld · 2020 · 173 citations · Cited by this paper
  31. Nesterov's accelerated gradient and momentum as approximations to regularised update descent · Aleksandar Botev · 2017 · 135 citations · Cited by this paper
  32. Polynomial Learning Rate Policy with Warm Restart for Deep Neural Network · Purnendu Mishra · 2019 · 107 citations · Cited by this paper
  33. A Recent Survey of Vision Transformers for Medical Image Segmentation · Asifullah Khan · 2025 · 44 citations · Cited by this paper
  34. Deep learning in biomedical informatics · Che‐Lun Hung · 2023 · 25 citations · Cited by this paper
  35. Enhanced Data Augmentation Using Synthetic Data for Brain Tumour Segmentation · André Filipe Ferreira · 2024 · 20 citations · Cited by this paper
  36. Medical Image Segmentation Methods: A Decision-Guided Survey Covering 2D/3D CNNs, Transformers, VLMs, SAM-Based Models and Diffusion Approaches · Kadir Sabancı · 2026 · 3 citations · Cited by this paper
  37. Application of transformer models in medical image segmentation: a narrative review · Yuan Xu · 2026 · 2 citations · Cited by this paper
  38. Lightweight Visual-Semantic Token Transformer for 3D Medical Image Segmentation · Boxi Wu · 2025 · 1 citation · Cited by this paper
  39. Improving Pre-trained Adult Glioma Segmentation Models Using only Post-processing Techniques · Abhijeet Parida · 2026 · 1 citation · Cited by this paper

Source: OpenAlex (CC0)