Paper Citation Record · LEDGER

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning

As of 11 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2501.17758.

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2501.17758 v2

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Outbound references

Observation 3bd91bad-c3fd-4192-9743-3f2fcc414ac2 · outbound

This paper cites The 2016 world health organization classification of tu- mors of the central nervous system: a summary,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning The 2016 world health organization classification of tu- mors of the central nervous system: a summary,

Reference 1

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This paper cites The 2021 who classification of tumors of the central nervous system: a summary,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning The 2021 who classification of tumors of the central nervous system: a summary,

Reference 2

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This paper cites Glioma targeted therapy: insight into future of molecular approaches,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Glioma targeted therapy: insight into future of molecular approaches,

Reference 3

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This paper cites Insight into deep learning for glioma idh medical image analysis: A systematic review,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Insight into deep learning for glioma idh medical image analysis: A systematic review,

Reference 4

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This paper cites The implications of idh mutations for cancer development and therapy,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning The implications of idh mutations for cancer development and therapy,

Reference 5

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This paper cites Predictive panel for immunotherapy in low-grade glioma,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Predictive panel for immunotherapy in low-grade glioma,

Reference 6

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This paper cites From Screens to Scenes: A Survey of Embodied AI in Healthcare.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning From Screens to Scenes: A Survey of Embodied AI in Healthcare

Reference 7

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This paper cites Prediction of idh1-mutation and 1p/19q-codeletion status using preoperative mr imaging phenotypes in lower grade gliomas,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Prediction of idh1-mutation and 1p/19q-codeletion status using preoperative mr imaging phenotypes in lower grade gliomas,

Reference 8

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This paper cites A fully automated multi- modal mri-based multi-task learning for glioma segmentation and idh genotyping,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning A fully automated multi- modal mri-based multi-task learning for glioma segmentation and idh genotyping,

Reference 9

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This paper cites Predicting pathological complete response based on weakly and semi-supervised joint learning from breast cancer mri,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Predicting pathological complete response based on weakly and semi-supervised joint learning from breast cancer mri,

Reference 10

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This paper cites Generalizable fgfr prediction across tumor types using self supervised learning.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Generalizable fgfr prediction across tumor types using self supervised learning

Reference 11

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This paper cites Exploring simple siamese representation learning,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Exploring simple siamese representation learning,

Reference 12

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This paper cites Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics,

Reference 13

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This paper cites Deep learning in precision medicine and focus on glioma,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Deep learning in precision medicine and focus on glioma,

Reference 14

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This paper cites Convolutional neural networks: an overview and application in radiology,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Convolutional neural networks: an overview and application in radiology,

Reference 15

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This paper cites Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on mri,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on mri,

Reference 16

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This paper cites Radiomics-based machine learning methods for isocitrate dehydrogenase genotype prediction of diffuse gliomas,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Radiomics-based machine learning methods for isocitrate dehydrogenase genotype prediction of diffuse gliomas,

Reference 17

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This paper cites Noninvasive prediction of idh1 mutation and atrx expression loss in low-grade gliomas using multiparametric mr radiomic features,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Noninvasive prediction of idh1 mutation and atrx expression loss in low-grade gliomas using multiparametric mr radiomic features,

Reference 18

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This paper cites Efficient multilevel brain tumor segmentation with integrated bayesian model classification,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Efficient multilevel brain tumor segmentation with integrated bayesian model classification,

Reference 19

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This paper cites Radiomic feature clusters and prognostic signatures specific for lung and head & neck cancer,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Radiomic feature clusters and prognostic signatures specific for lung and head & neck cancer,

Reference 20

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This paper cites A robust classification of brain tumor disease in mri using twin-attention based dense convolutional auto- encoder,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning A robust classification of brain tumor disease in mri using twin-attention based dense convolutional auto- encoder,

Reference 21

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Multi-task parallel with feature sharing integrated 3d u-nets for glioma segmentation,

Reference 22

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Prediction of lower-grade glioma molecular subtypes using deep learning,

Reference 23

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This paper cites Deep learning of imaging phenotype and genotype for predicting overall survival time of glioblastoma patients,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Deep learning of imaging phenotype and genotype for predicting overall survival time of glioblastoma patients,

Reference 24

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Attention is all you need,

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This paper cites Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3d unetr,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3d unetr,

Reference 26

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Dermatologist-level classification of skin cancer with deep neural networks,

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Artificial intelligence–based breast cancer nodal metastasis detection: insights into the black box for pathologists,

Reference 28

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Deeplensnet: deep learning automated diagnosis and quantitative classification of cataract type and severity,

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning A survey on image data augmen- tation for deep learning,

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning U-net: deep learning for cell counting, detection, and morphometry,

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning A survey on vision transformer,

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning What uncertainties do we need in bayesian deep learning for computer vision?

Reference 34

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Missing mri pulse sequence synthesis using multi-modal generative adversarial network,

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Self-distillation: Towards efficient and compact neural networks,

Reference 36

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This paper cites Learning from architectural redundancy: Enhanced deep supervision in deep multipath encoder– decoder networks,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Learning from architectural redundancy: Enhanced deep supervision in deep multipath encoder– decoder networks,

Reference 37

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning A calibration hierarchy for risk models was defined: from utopia to empirical data,

Reference 38

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 39

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Unimatch v2: Pushing the limit of semi-supervised semantic segmentation,

Reference 40

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Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Fixmatch: Simplifying semi- supervised learning with consistency and confidence,

Reference 41

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This paper cites Semi-supervised semantic segmentation with cross pseudo supervision,.

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning Semi-supervised semantic segmentation with cross pseudo supervision,

Reference 42

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