BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases | Paper Citation Record

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases zenodo (2024) 8

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases The Lancet Oncology27(1), 116–124 (2026) 4

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases Nature communications13(1), 1–13 (2022) 3, 4

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases The medical segmentation decathlon

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases Qwen Technical Report

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases In: International Conference on Medical Image Computing and Computer-Assisted Intervention

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This paper cites Scaling artificial intelligence for multi-tumor early detection with more reports, fewer masks.arXiv preprint arXiv:2510.14803.

BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases Scaling artificial intelligence for multi-tumor early detection with more reports, fewer masks.arXiv preprint arXiv:2510.14803

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This paper cites The Liver Tumor Segmentation Benchmark (LiTS).

BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases The Liver Tumor Segmentation Benchmark (LiTS)

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases Research Square pp

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases In: Conference on fairness, accountability and transparency

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases Nature medicine29(12), 3033–3043 (2023) 2, 8

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases MONAI: An open-source framework for deep learning in healthcare

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases In: Proceedings of the IEEE/CVF International Conference on Computer Vision

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases In: IEEE/CVF conference on computer vision and pattern recognition (CVPR)

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases In: Proceedings of the IEEE International Conference on Computer Vision (ICCV)

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases Cancer120, 1091–1096 (2014) 2

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases Radiology: Artificial Intelligence5(6), e230060 (2023) 3

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases In: Proceedings of the Com- puter Vision and Pattern Recognition Conference

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases Nature Medicine pp

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases Advances in Neural Information Processing Systems37, 24496–24522 (2024) 2

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases Nature Methods18(2), 203–211 (2021) 12, 17, 19, 26, 27, 28, 29, 30, 31

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases Nature Medicine30(4), 1166–1173 (2024) 3

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases In: Proceedings of the IEEE/CVF International Conference on Computer Vision

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases IEEE Transactions on pattern analysis and machine intelligence22(10), 1090–1104 (2000) 2

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases In: International Conference on Medical Image Computing and Computer-Assisted Intervention

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases In: International Conference on Medical Image Computing and Computer-Assisted Intervention

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