Research map: Comprehensive evaluation of 3D CNN and transformer architectures for 3D liver segmentation in medical imaging: A reproducible, externally validated benchmark built on a PyTorch Lightning CLI pipeline

Back to the article

Papers in this map

  1. A survey on deep learning in medical image analysis · Geert J. S. Litjens · 2017 · 15374 citations · Cited by this paper
  2. Streamlined artificial intelligence triage: CT imaging alone predicts neurosurgical need in traumatic brain injury · 2026 · Related
  3. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation · Fabian Isensee · 2020 · 9720 citations · Cited by this paper
  4. Advancement and challenges of reinforcement learning in lung cancer imaging · 2026 · Related
  5. 3D Slicer as an image computing platform for the Quantitative Imaging Network · Andriy Fedorov · 2012 · 9319 citations · Cited by this paper
  6. A Neuro-Symbolic Clinical Agent for cardiovascular risk stratification: Integrating stacking ensembles with simulation-augmented reasoning · 2026 · Related
  7. THE DISTRIBUTION OF THE FLORA IN THE ALPINE ZONE. 1 · Paul Jaccard · 1912 · 4674 citations · Cited by this paper
  8. Cross-procedure generalisation of an AI algorithm for surgical step prediction: from distal radius to fibula osteosynthesis · 2026 · Related
  9. Comparing images using the Hausdorff distance · D.P. Huttenlocher · 1993 · 4578 citations · Cited by this paper
  10. Improving precision in bone tumor resection surgery: automated allograft selection using contralateral reconstruction · 2026 · Related
  11. UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation · Zongwei Zhou · 2019 · 4416 citations · Cited by this paper
  12. AILMENT: A novel ML framework for prediction and analysis of microbiota associations in colorectal cancer · 2026 · Related
  13. Road Extraction by Deep Residual U-Net · Zhengxin Zhang · 2018 · 3185 citations · Cited by this paper
  14. Towards explainable AI-driven individualized treatment optimization for breast cancer time-to-event outcomes · 2026 · Related
  15. Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool · Abdel Aziz Taha · 2015 · 2966 citations · Cited by this paper
  16. Gait prediction post-botulinum toxin injection: A transfer learning approach · 2026 · Related
  17. Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? · Olivier Bernard · 2018 · 2428 citations · Cited by this paper
  18. Clinical validation of artificial intelligence for gastrointestinal diseases · 2026 · Related
  19. The Medical Segmentation Decathlon · Michela Antonelli · 2022 · 1329 citations · Cited by this paper
  20. Bayesian deep learning for uncertainty aware medical image segmentation correction and feature engineering: Applications to OCT imaging · 2026 · Related
  21. The Liver Tumor Segmentation Benchmark (LiTS) · Patrick Bilic · 2022 · 1249 citations · Cited by this paper
  22. Towards precision medicine · Euan Angus Ashley · 2016 · 1149 citations · Cited by this paper
  23. Predictive, personalized, preventive, participatory (P4) cancer medicine · Leroy Hood · 2011 · 906 citations · Cited by this paper
  24. A Review of Deep-Learning-Based Medical Image Segmentation Methods · Xiangbin Liu · 2021 · 880 citations · Cited by this paper
  25. Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks · Eli Gibson · 2018 · 728 citations · Cited by this paper
  26. Towards a guideline for evaluation metrics in medical image segmentation · Dominik Müller · 2022 · 653 citations · Cited by this paper
  27. Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide · Shelly Soffer · 2019 · 523 citations · Cited by this paper
  28. Metrics reloaded: recommendations for image analysis validation · Lena Maier‐Hein · 2024 · 472 citations · Cited by this paper
  29. Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study · Stanislav Nikolov · 2021 · 377 citations · Cited by this paper
  30. Deep learning for medical image segmentation: State-of-the-art advancements and challenges · Md. Eshmam Rayed · 2024 · 328 citations · Cited by this paper
  31. From CNN to Transformer: A Review of Medical Image Segmentation Models · Wenjian Yao · 2024 · 207 citations · Cited by this paper
  32. VNet: An End-to-End Fully Convolutional Neural Network for Road Extraction From High-Resolution Remote Sensing Data · Abolfazl Abdollahi · 2020 · 196 citations · Cited by this paper
  33. Consensus recommendations of three-dimensional visualization for diagnosis and management of liver diseases · Chihua Fang · 2020 · 133 citations · Cited by this paper
  34. A comprehensive review of deep learning for medical image segmentation · Qingling Xia · 2024 · 103 citations · Cited by this paper
  35. Computational Methods for Liver Vessel Segmentation in Medical Imaging: A Review · Marcin Ciecholewski · 2021 · 71 citations · Cited by this paper
  36. Comparison of metrics for the evaluation of medical segmentations using prostate MRI dataset · Ying‐Hwey Nai · 2021 · 70 citations · Cited by this paper
  37. Reviewing 3D convolutional neural network approaches for medical image segmentation · Ademola Enitan Ilesanmi · 2024 · 53 citations · Cited by this paper
  38. Heterogeneous System-on-Chip-Based Lattice-Boltzmann Visual Simulation System · Xiaojun Zhai · 2019 · 46 citations · Cited by this paper
  39. Lattice-Boltzmann interactive blood flow simulation pipeline · Sahar Soheilian Esfahani · 2020 · 43 citations · Cited by this paper

Source: OpenAlex (CC0)