Federated Learning for Large Models in Medical Imaging: A Comprehensive Review | Paper Citation Record

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This paper cites Adversaries can exploit these updates using optimization-based reverse engineering techniques to infer client-specific inputs or latent features [104].

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Adversaries can exploit these updates using optimization-based reverse engineering techniques to infer client-specific inputs or latent features [104]

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Unresolved cited work

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This paper cites As demonstrated by Yuan et al.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review As demonstrated by Yuan et al

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This paper cites Artificial intelligence: A powerful paradigm for scientific research,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Artificial intelligence: A powerful paradigm for scientific research,

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This paper cites Ai revolutionizing industries world- wide: A comprehensive overview of its diverse applications,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Ai revolutionizing industries world- wide: A comprehensive overview of its diverse applications,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Scientific discovery in the age of artificial intelligence,

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This paper cites How artificial intelligence is shaping medical imag- ing technology: a survey of innovations and applications,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review How artificial intelligence is shaping medical imag- ing technology: a survey of innovations and applications,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Data-centric artificial intelligence: A survey,

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This paper cites Machine learning and artificial intelligence: a paradigm shift in big data-driven drug design and discovery,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Machine learning and artificial intelligence: a paradigm shift in big data-driven drug design and discovery,

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This paper cites Biological data annotation via a human-augmenting ai-based labeling system,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Biological data annotation via a human-augmenting ai-based labeling system,

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This paper cites Secure, privacy-preserving and federated machine learning in medical imaging,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Secure, privacy-preserving and federated machine learning in medical imaging,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Communication-efficient learning of deep networks from decentral- ized data,

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This paper cites Physics- driven spectrum-consistent federated learning for palmprint verifica- tion,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Physics- driven spectrum-consistent federated learning for palmprint verifica- tion,

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This paper cites Federated learning for data privacy preservation in vehicular cyber-physical systems,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated learning for data privacy preservation in vehicular cyber-physical systems,

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This paper cites Impact of upstream medical image processing on downstream performance of a head ct triage neural network,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Impact of upstream medical image processing on downstream performance of a head ct triage neural network,

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This paper cites Computational medical image reconstruction techniques: a comprehensive review,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Computational medical image reconstruction techniques: a comprehensive review,

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This paper cites Low-dose ct with a residual encoder-decoder convolutional neural network,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Low-dose ct with a residual encoder-decoder convolutional neural network,

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This paper cites Data and Physics driven Deep Learning Models for Fast MRI Reconstruction: Fundamentals and Methodologies.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Data and Physics driven Deep Learning Models for Fast MRI Reconstruction: Fundamentals and Methodologies

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Observation ccb6c4c3-b78c-432f-9030-fa80e5731c2e · outbound

This paper cites Impact of dementia: Health disparities, population trends, care interventions, and economic costs,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Impact of dementia: Health disparities, population trends, care interventions, and economic costs,

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This paper cites Residual cyclegan for robust domain transformation of histopathological tissue slides,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Residual cyclegan for robust domain transformation of histopathological tissue slides,

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This paper cites A novel early diagnos- tic framework for chronic diseases with class imbalance,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review A novel early diagnos- tic framework for chronic diseases with class imbalance,

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This paper cites Ai in medical imaging informatics: current challenges and future directions,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Ai in medical imaging informatics: current challenges and future directions,

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This paper cites Federated learning for medical image analysis: A survey,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated learning for medical image analysis: A survey,

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This paper cites Review of federated learning and machine learning-based methods for medical image analysis,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Review of federated learning and machine learning-based methods for medical image analysis,

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This paper cites Federated learning in medical image analysis: A systematic survey,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated learning in medical image analysis: A systematic survey,

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This paper cites Federated learning for rare disease detection: a survey,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated learning for rare disease detection: a survey,

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This paper cites A Survey on Trustworthiness in Foundation Models for Medical Image Analysis.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review A Survey on Trustworthiness in Foundation Models for Medical Image Analysis

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This paper cites Federated learning in radiomics: A comprehensive meta-survey on medical image analysis,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated learning in radiomics: A comprehensive meta-survey on medical image analysis,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Fedavg with fine tuning: Local updates lead to representation learning,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Knowledge distillation: A survey,

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This paper cites Data-free knowledge distillation for heterogeneous federated learning,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Data-free knowledge distillation for heterogeneous federated learning,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Real-world data: towards achieving the achievable in cancer care,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated optimization in heterogeneous networks,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Model-contrastive federated learning,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Tackling the objective inconsistency problem in heterogeneous federated optimiza- tion,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Communication-efficient federated learning via knowledge distillation,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Personalized federated learning using hypernetworks,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Fedtp: Federated learning by transformer personalization,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Personalized federated few-shot learning,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Simultaneous ct-mri reconstruction for constrained imaging geometries using structural coupling and compressive sensing,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Low-dose ct image denoising using a generative adversarial network with wasserstein distance and perceptual loss,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Hypernetwork- based physics-driven personalized federated learning for ct imaging,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Patient-level anatomy meets scanning-level physics: Personalized fed- erated low-dose ct denoising empowered by large language model,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated condition generalization on low-dose ct reconstruction via cross-domain learning,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Personalized artifacts modeling and federated learning for multi-institutional low-dose ct reconstruction,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated CycleGAN for Privacy-Preserving Image-to-Image Translation

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Fedfdd: Federated learning with frequency domain decomposition for low-dose ct denois- ing,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Semi-centralized federated learning network for low-dose ct imaging,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Robust multi-institution low-dose ct imaging with semi- supervised federated learning network,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Radiation dose reduction in chest ct—review of available options,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Tradeoffs between image quality and dose,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Estimation of observer performance for reduced radiation dose levels in ct: eliminating reduced dose levels that are too low is the first step,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Rapid brain mri acquisition techniques at ultra-high fields,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Designing clinical mri for enhanced workflow and value,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Deep learning-based super-resolution and denoising algorithm improves reliability of dynamic contrast-enhanced mri in diffuse glioma,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Adaptive channel- modulated personalized federated learning for magnetic resonance image reconstruction,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Specificity- preserving federated learning for mr image reconstruction,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Multi-institutional collaborations for improving deep learning-based magnetic resonance image reconstruction using federated learning,

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Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction

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Observation 07f19ac7-7dac-4774-9b5a-2f53f4a6d721 · outbound

This paper cites One model to unite them all: Personalized federated learning of multi-contrast mri synthesis,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review One model to unite them all: Personalized federated learning of multi-contrast mri synthesis,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T15:07:54.527042Z

Source-reported events for the cited work

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Observation 0446156f-6326-41c8-b7aa-46ad93e73afe · outbound

This paper cites Cross-modal vertical federated learning for mri reconstruction,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Cross-modal vertical federated learning for mri reconstruction,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T15:07:54.530986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac86b958-ee00-4aa8-8363-077784155ce6 · outbound

This paper cites Learning federated visual prompt in null space for mri reconstruction,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Learning federated visual prompt in null space for mri reconstruction,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T15:07:54.534759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c449175e-5937-48ad-8ad9-0171763902da · outbound

This paper cites Generalizable reconstruction for accelerating mr imaging via federated learning with neural architecture search,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Generalizable reconstruction for accelerating mr imaging via federated learning with neural architecture search,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T15:07:54.538417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 471a8435-1450-4ea6-8858-20ec4fbde803 · outbound

This paper cites Federated learning of generative image priors for mri reconstruction,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated learning of generative image priors for mri reconstruction,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T15:07:54.541969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4be04ab2-4447-4cce-ac0e-a7418c087b45 · outbound

This paper cites Model-based federated learning for accurate mr image reconstruction from undersampled k- space data,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Model-based federated learning for accurate mr image reconstruction from undersampled k- space data,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-05T15:07:54.545573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f5cb708-c5a9-435e-a676-115728c3ab64 · outbound

This paper cites Fame: A federated adversarial learning framework for privacy-preserving mri reconstruction,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Fame: A federated adversarial learning framework for privacy-preserving mri reconstruction,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T15:07:54.549291Z

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Unavailable: canonical work link unavailable.

Observation 7ae88dc9-ec7c-4146-9fc2-052892869e35 · outbound

This paper cites Self-supervised federated learning for fast mr imaging,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Self-supervised federated learning for fast mr imaging,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-05T15:07:54.553050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a75d6419-6165-4f40-b11d-e0833b86f87f · outbound

This paper cites Fedgraphmri-net: A federated graph neural network framework for robust mri reconstruction across non-iid data,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Fedgraphmri-net: A federated graph neural network framework for robust mri reconstruction across non-iid data,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.895070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5c22a96a-4e93-4023-8824-c96e66ddeed6 · outbound

This paper cites Differential privacy,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Differential privacy,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-05T15:07:54.559948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfafcc41-f692-4b2e-9fe0-edb9e7f67ea2 · outbound

This paper cites What makes for good views for contrastive learning?.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review What makes for good views for contrastive learning?

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.873319Z

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Observation e0d0abc0-d683-41c2-b9e1-de98aece63fe · outbound

This paper cites Federated end-to-end unrolled models for magnetic resonance image reconstruction,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated end-to-end unrolled models for magnetic resonance image reconstruction,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.861357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 63ee7553-3fc7-4259-b9bb-c9a1048675e6 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learn- ing,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Scaffold: Stochastic controlled averaging for federated learn- ing,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.849218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6c001085-05b9-4226-a24f-ce391ffb2079 · outbound

This paper cites Adaptive Federated Optimization.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Adaptive Federated Optimization

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-05T15:07:54.574826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe481b4b-b398-4cfc-9ac6-642572e2a055 · outbound

This paper cites A federated learning-based model for the detection of lung cancer from ct scan images,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review A federated learning-based model for the detection of lung cancer from ct scan images,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.837039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2989a5e-df24-4763-9257-6a38557b1c6a · outbound

This paper cites Blockchain-federated-learning and deep learning models for covid-19 detection using ct imaging,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Blockchain-federated-learning and deep learning models for covid-19 detection using ct imaging,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.824640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f953371e-fe83-492c-b6d6-a312418b79da · outbound

This paper cites Federated learning for detecting covid-19 in chest ct images: a lightweight federated learning approach,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated learning for detecting covid-19 in chest ct images: a lightweight federated learning approach,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.812105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1026f690-3359-4999-a656-03ceb604e778 · outbound

This paper cites A new lung cancer detection method based on the chest ct images using federated learning and blockchain systems,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review A new lung cancer detection method based on the chest ct images using federated learning and blockchain systems,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.799679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation be356fd6-7d6d-402f-a7a4-e7203efb442d · outbound

This paper cites Sift: A serial framework with textual guidance for federated learning,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Sift: A serial framework with textual guidance for federated learning,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.787450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8508a45-5f7d-4a02-8d6e-fbfe4faf9fc1 · outbound

This paper cites Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:07:54.947978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8c5f57f-8e9f-4abb-99c1-011eff049afc · outbound

This paper cites Multi-site fmri analysis using privacy-preserving federated learning and domain adaptation: Abide results,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Multi-site fmri analysis using privacy-preserving federated learning and domain adaptation: Abide results,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.775824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1e889996-bd83-4cb4-b71f-afa5625c2fad · outbound

This paper cites Federated disentangled representation learning for unsupervised brain anomaly detection,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated disentangled representation learning for unsupervised brain anomaly detection,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.763277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9c448def-2cbd-4797-a2f9-83c09945bbe2 · outbound

This paper cites Fedmedicl: Towards holistic evaluation of distribution shifts in feder- ated medical imaging,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Fedmedicl: Towards holistic evaluation of distribution shifts in feder- ated medical imaging,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.751307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 419a0cc2-935a-4a6d-80a8-76a6af0ba855 · outbound

This paper cites End-to-end privacy preserving deep learning on multi-institutional medical imaging,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review End-to-end privacy preserving deep learning on multi-institutional medical imaging,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.739389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8703b482-7970-4df5-8de8-8631301f8332 · outbound

This paper cites Federated learning for predicting clinical outcomes in patients with covid-19,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated learning for predicting clinical outcomes in patients with covid-19,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.726870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f3d54ca0-75d2-4f72-b830-2c3d37aaf7e8 · outbound

This paper cites Mh-pflgb: Model heterogeneous personalized federated learning via global bypass for medical image analysis,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Mh-pflgb: Model heterogeneous personalized federated learning via global bypass for medical image analysis,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.713963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1575d472-818c-453f-a306-f08a628eafaf · outbound

This paper cites Federated learning for privacy preservation in smart healthcare systems: A comprehensive survey,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated learning for privacy preservation in smart healthcare systems: A comprehensive survey,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.701731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43e7b7fd-0575-40e9-a0b9-301a62d1aaff · outbound

This paper cites Collaborative federated learning for healthcare: Multi-modal covid-19 diagnosis at the edge,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Collaborative federated learning for healthcare: Multi-modal covid-19 diagnosis at the edge,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.689018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 61dd9600-2b83-4fbf-b3ca-05a8099753a5 · outbound

This paper cites Mo- bilenetv2: Inverted residuals and linear bottlenecks,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Mo- bilenetv2: Inverted residuals and linear bottlenecks,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.677243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d0c5cf80-aa11-440a-b325-b3b82a7502d4 · outbound

This paper cites Capsules for Object Segmentation.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Capsules for Object Segmentation

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-05T15:07:54.633561Z

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Unavailable: canonical work link unavailable.

Observation c04a556b-7c9d-402e-82b1-9775b6b4fedf · outbound

This paper cites Dynamic routing between capsules,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Dynamic routing between capsules,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.665200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 04090f74-6304-41e2-aa2b-367fabd0222d · outbound

This paper cites Mixture of experts: a literature survey,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Mixture of experts: a literature survey,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.652527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 80f30853-99e7-4800-be27-b1ebf86cae7c · outbound

This paper cites Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.640314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54425ea6-4c9c-4d76-a44c-63d0513eac06 · outbound

This paper cites Funavg: Federated uncertainty weighted averaging for datasets with diverse labels,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Funavg: Federated uncertainty weighted averaging for datasets with diverse labels,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.627950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9dccdda4-e673-489d-b4ec-7e2912abea30 · outbound

This paper cites Feddus: Lung tumor segmentation on ct images through federated semi-supervised with dynamic update strategy,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Feddus: Lung tumor segmentation on ct images through federated semi-supervised with dynamic update strategy,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.615342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d60b7b2-b6b7-4259-8351-1824799dc8ed · outbound

This paper cites Influence of data distribution on federated learning performance in tumor segmentation,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Influence of data distribution on federated learning performance in tumor segmentation,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.602451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 47a30832-d820-4de6-8d6f-4a2146579ff8 · outbound

This paper cites Precision and robust models on healthcare institution federated learning for predicting hcc on portal venous ct images,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Precision and robust models on healthcare institution federated learning for predicting hcc on portal venous ct images,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.589247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c1f6d3ca-1580-46b9-8d20-d8797b43c26c · outbound

This paper cites Automated pancreas segmentation using multi-institutional collaborative deep learning,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Automated pancreas segmentation using multi-institutional collaborative deep learning,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.577214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f27f2c6-ec81-45d7-af9c-6597c44c125a · outbound

This paper cites Multi- institutional pet/ct image segmentation using federated deep trans- former learning,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Multi- institutional pet/ct image segmentation using federated deep trans- former learning,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.565497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3b13da3c-c9d7-4d41-97b1-be5298d48b65 · outbound

This paper cites Real world federated learning with a knowledge distilled transformer for cardiac ct imaging,.

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Real world federated learning with a knowledge distilled transformer for cardiac ct imaging,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:07:55.553359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

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