Paper Citation Record · LEDGER

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.14100.

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

pith.paper-citation-record.v1
2412.14100 v1

Coverage vector

measured 31 of 31 reference resolution

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measured 31 of 31 standing notices

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Pith citing papers itemized under the disclosed page cap.

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A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation 6a1aaaf2-4a19-4401-a904-658c112dcc9f · outbound

This paper cites Scientific reports10(1), 11622 (2020).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset Scientific reports10(1), 11622 (2020)

Reference 1

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Observation 82ba46b2-23fe-446a-a997-d0c31d8dbe3f · outbound

This paper cites NMR in Biomedicine 36(3), e4846 (2023).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset NMR in Biomedicine 36(3), e4846 (2023)

Reference 2

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Observation efa701ba-7b55-4388-a69c-5bdf4a15bb3e · outbound

This paper cites IJS Global Health6(3), e136 (2023).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset IJS Global Health6(3), e136 (2023)

Reference 3

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Observation b6516342-bace-46f7-8c7b-bac88de608de · outbound

This paper cites The Lancet Neurology18(4), 376–393 (2019).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset The Lancet Neurology18(4), 376–393 (2019)

Reference 4

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This paper cites Diagnostics13(9), 1562 (2023).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset Diagnostics13(9), 1562 (2023)

Reference 5

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Observation 801d3298-667d-40e2-bacc-d7d15d6eb9eb · outbound

This paper cites Auto- matica 11(285-296), 23–27 (1975).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset Auto- matica 11(285-296), 23–27 (1975)

Reference 6

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Observation 7c96a43f-b7f4-493f-8e34-1b267e6bfb6b · outbound

This paper cites Introducing A Novel Method For Adaptive Thresholding In Brain Tumor Medical Image Segmentation.

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset Introducing A Novel Method For Adaptive Thresholding In Brain Tumor Medical Image Segmentation

Reference 7

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Observation d8a6adc9-d86a-47c3-babd-05fc045b494d · outbound

This paper cites Interna- tional journal of computer vision1(4), 321–331 (1988).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset Interna- tional journal of computer vision1(4), 321–331 (1988)

Reference 8

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Observation 786733d7-4344-4fe1-b3fe-c39d7e75626d · outbound

This paper cites Handbook of Biomedical Imaging: Methodologies and Clinical Research pp.

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset Handbook of Biomedical Imaging: Methodologies and Clinical Research pp

Reference 9

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Observation f9f61d9b-2715-44cb-9d7b-3ef6dd6661ad · outbound

This paper cites Cancers 15(16), 4172 (2023).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset Cancers 15(16), 4172 (2023)

Reference 10

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Observation 5b5700d5-33f6-4517-96b0-80536a27af53 · outbound

This paper cites In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18.

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18

Reference 11

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Observation d55dfdbf-137c-4435-881f-4f38081d7d35 · outbound

This paper cites Studies in health technology and informatics305, 93–96 (2023).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset Studies in health technology and informatics305, 93–96 (2023)

Reference 12

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Observation 08147a1c-ec65-4ff5-a331-a7b100c2cbb6 · outbound

This paper cites International Journal on Recent and Innovation Trends in Computing and Communication11(4), 324–340 (2023).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset International Journal on Recent and Innovation Trends in Computing and Communication11(4), 324–340 (2023)

Reference 13

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Observation bca4b8c0-d21f-4341-9ef2-0329fbcbc672 · outbound

This paper cites In: 2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset In: 2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)

Reference 14

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Observation 92e173f6-918d-4723-ad16-69ec5d115f36 · outbound

This paper cites U-Netmer: U-Net meets Transformer for medical image segmentation.

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset U-Netmer: U-Net meets Transformer for medical image segmentation

Reference 15

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Observation 6c6d0567-d7ed-4b85-a454-05c90b14468a · outbound

This paper cites In: International MICCAI Brainlesion Workshop.

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset In: International MICCAI Brainlesion Workshop

Reference 16

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Observation fc61325e-f441-4e54-a09b-6ab96fe1cb1c · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 17

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Observation 7143cfb3-db3a-4a63-bc0d-9b53bb23a3e3 · outbound

This paper cites On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks.

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks

Reference 18

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Observation 89f858ce-e942-431c-bb94-74bbca0c1af1 · outbound

This paper cites ArXiv (2023).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset ArXiv (2023)

Reference 19

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Observation 4823f739-2c65-42ea-a6ee-b9fc1451e7d2 · outbound

This paper cites Expert systems with applications 230, 120534 (2023).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset Expert systems with applications 230, 120534 (2023)

Reference 20

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This paper cites In: International conference on machine learning.

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset In: International conference on machine learning

Reference 21

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This paper cites AdapterFusion: Non-Destructive Task Composition for Transfer Learning.

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Reference 22

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 23

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Observation ab61ac7c-311b-4be9-b64f-20d50aea5501 · outbound

This paper cites VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks.

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

Reference 24

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This paper cites The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Reference 25

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This paper cites IEEE transactions on medical imaging 34(10), 1993–2024 (2014).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset IEEE transactions on medical imaging 34(10), 1993–2024 (2014)

Reference 26

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 27

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This paper cites In: Proceedings of the European conference on computer vision (ECCV).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset In: Proceedings of the European conference on computer vision (ECCV)

Reference 28

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Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset Unresolved cited work

Reference 29

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This paper cites Gaussian Error Linear Units (GELUs).

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset Gaussian Error Linear Units (GELUs)

Reference 30

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Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset Unresolved cited work

Reference 31

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Pith citing papers

No inbound Pith citation observations are available.