Paper Citation Record · LEDGER

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis

As of 7 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2507.12092.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.12092 v1

Coverage vector

measured 51 of 51 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

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External citation measurements

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Outbound references

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Unresolved cited work

Reference 1

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This paper cites Portaccio, M.

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Portaccio, M

Reference 2

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Unresolved cited work

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This paper cites Hametner, T.

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Hametner, T

Reference 4

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This paper cites Cagol, R.

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Cagol, R

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Absinta, P

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Maggi, P

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Reference 12

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This paper cites Ronneberger, P.

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Ronneberger, P

Reference 15

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This paper cites Çiçek, A.

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Çiçek, A

Reference 16

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Kober, C

Reference 17

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis La Rosa, E

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Isensee, P

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Unresolved cited work

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Isensee, M

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Billot, D

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Isensee, T

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Unresolved cited work

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis blob loss: instance imbalance aware loss functions for semantic segmentation

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis La Rosa, M

Reference 31

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Unresolved cited work

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Jiang, M

Reference 35

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Unresolved cited work

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Maranzano, M

Reference 39

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects

Reference 40

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Segmenting Small Stroke Lesions with Novel Labeling Strategies

Reference 41

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Raina, N

Reference 42

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Spagnolo, N

Reference 43

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis La Rosa, A

Reference 44

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Revisiting MAE pre-training for 3D medical image segmentation

Reference 45

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Zhang, C

Reference 46

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Unresolved cited work

Reference 47

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Molchanova, V

Reference 48

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis doi:10.1038/s41591-018-0300-7, publisher: Nature Publishing Group

Reference 56

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis doi:10.1038/nrneurol.2016.166, publisher: NaturePublishingGroup

Reference 722

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Unresolved cited work

Reference 1363

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Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis Adam: A Method for Stochastic Optimization

Reference 2014

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Pith citing papers

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