Paper Citation Record · LEDGER

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation

As of 13 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2501.03223.

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

pith.paper-citation-record.v1
2501.03223 v1

Coverage vector

measured 39 of 39 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: pith, observed 2026-08-10T21:57:16.160956Z

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation 7a5ca3f4-6601-4a07-a05c-b23dc1e068e7 · outbound

This paper cites Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation

Reference 1

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Observation 0b6f9cac-eabf-4fd3-8fbe-a83af992aa89 · outbound

This paper cites 3 provides a visual representation of our proposed LoRA- based federated learning approach.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation 3 provides a visual representation of our proposed LoRA- based federated learning approach

Reference 2

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Observation dec61825-e3db-4602-a32e-5d088f4c889c · outbound

This paper cites Client: Receive preliminarymerged adapters and evaluate.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Client: Receive preliminarymerged adapters and evaluate

Reference 3

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Observation d372b7a7-946a-4c8a-a3c5-ff17fadb2b8e · outbound

This paper cites 𝐴"The aggregated model 𝑊!#.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation 𝐴"The aggregated model 𝑊!#

Reference 4

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Observation d3ab2033-18ef-4610-94d6-886a6cbc54aa · outbound

This paper cites an unresolved cited work.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Unresolved cited work

Reference 5

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Observation f7f17633-5904-4b6c-9930-ee07bfab928a · outbound

This paper cites Rate-My-LoRA carefully evaluates the generalizability of LoRA adapters from different clients and enables fast local adaptation.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Rate-My-LoRA carefully evaluates the generalizability of LoRA adapters from different clients and enables fast local adaptation

Reference 6

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Observation cd4fc1af-5f26-4345-afd4-8e09364c1528 · outbound

This paper cites Eth- ical approval was not required as confirmed by the license attached with the open access data.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Eth- ical approval was not required as confirmed by the license attached with the open access data

Reference 7

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This paper cites Metaxas through NSF: IUCRC CARTA 1747778, 2235405, 2212301, 1951890, 2003874, and NIH-5R01HL127661.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Metaxas through NSF: IUCRC CARTA 1747778, 2235405, 2212301, 1951890, 2003874, and NIH-5R01HL127661

Reference 8

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Observation 5c47e387-58b4-45ed-ac26-9260e62eb39d · outbound

This paper cites The prog- nostic impact of dynamic ventricular dyssynchrony in patients with idiopathic dilated cardiomyopathy and nar- row QRS,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation The prog- nostic impact of dynamic ventricular dyssynchrony in patients with idiopathic dilated cardiomyopathy and nar- row QRS,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.383683Z

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Observation bcc69e43-235c-47b9-af0f-ac472db672af · outbound

This paper cites Clinical applications of cardiovascular magnetic resonance imaging,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Clinical applications of cardiovascular magnetic resonance imaging,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.372524Z

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Observation bddb3e27-333f-4226-94b1-25baf2149eb4 · outbound

This paper cites Dmcvr: Morphology-guided diffusion model for 3d cardiac vol- ume reconstruction,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Dmcvr: Morphology-guided diffusion model for 3d cardiac vol- ume reconstruction,

Reference 11

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Observation e693a4c8-6956-479b-bbaa-896bd2b93da9 · outbound

This paper cites Effective 3d humerus and scapula extraction using low-contrast and high- shape-variability mr data,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Effective 3d humerus and scapula extraction using low-contrast and high- shape-variability mr data,

Reference 12

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Observation 5cbfefac-283c-4cd0-805a-804c1d8f7e2c · outbound

This paper cites Region proposal rectification towards robust instance segmentation of bi- ological images,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Region proposal rectification towards robust instance segmentation of bi- ological images,

Reference 13

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Observation 428b8a66-4872-4f54-bef8-566c820fd9c5 · outbound

This paper cites Transfusion: multi-view divergent fusion for medical image segmentation with transformers,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Transfusion: multi-view divergent fusion for medical image segmentation with transformers,

Reference 14

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Observation ca876ed4-d433-435f-a154-92fa5bffcc02 · outbound

This paper cites Recursive 3D Segmentation of Shoulder Joint with Coarse-scanned MR Image.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Recursive 3D Segmentation of Shoulder Joint with Coarse-scanned MR Image

Reference 15

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Observation b43dfd5a-4bf1-4c42-85fd-ee8ba1b9b629 · outbound

This paper cites Deep learning for cardiac image segmentation: a review,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Deep learning for cardiac image segmentation: a review,

Reference 16

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This paper cites Communication-efficient learning of deep networks from decentralized data,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Communication-efficient learning of deep networks from decentralized data,

Reference 17

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This paper cites Fed- erated learning enables big data for rare cancer boundary detection,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Fed- erated learning enables big data for rare cancer boundary detection,

Reference 18

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Observation 805e9e67-d473-46e8-96c1-66d3a896ac95 · outbound

This paper cites Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation

Reference 19

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Observation c4c99f8b-2f8a-4d44-a07f-4070945dc4fd · outbound

This paper cites Mining multi- center heterogeneous medical data with distributed syn- thetic learning,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Mining multi- center heterogeneous medical data with distributed syn- thetic learning,

Reference 20

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Observation 7aa7c0e3-f89b-467c-bffd-b6ad71e14d3b · outbound

This paper cites FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers

Reference 21

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Observation 70a63664-a897-4df8-9ee5-f8dbbab65ac5 · outbound

This paper cites FedED: Federated learning via ensemble distillation for medical relation extraction,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation FedED: Federated learning via ensemble distillation for medical relation extraction,

Reference 22

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Observation 8403f9e4-ba65-487f-8a40-bc350e14b4d2 · outbound

This paper cites Performance Weighting for Robust Federated Learning Against Corrupted Sources.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Performance Weighting for Robust Federated Learning Against Corrupted Sources

Reference 23

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Observation 99fb9117-2c2f-459e-a6ab-7b99e84b66e8 · outbound

This paper cites Client selection based weighted federated few-shot learning,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Client selection based weighted federated few-shot learning,

Reference 24

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Observation 0c34efdf-2ba4-45a3-a0f2-38daf64bfb99 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation LoRA: Low-Rank Adaptation of Large Language Models

Reference 25

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Observation 2f3451f5-c0a9-4f57-ad5a-ee25841c1208 · outbound

This paper cites Rewriting a deep generative model,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Rewriting a deep generative model,

Reference 26

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Observation 0b88e42a-dc45-4c3c-b90a-d7eb61b90889 · outbound

This paper cites BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

Reference 27

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Observation 9027b9da-b9e8-4371-893f-b324fb3aae69 · outbound

This paper cites Asymmetry in Low-Rank Adapters of Foundation Models.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Asymmetry in Low-Rank Adapters of Foundation Models

Reference 28

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This paper cites Training-free bayesianization for low- rank adapters of large language models,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Training-free bayesianization for low- rank adapters of large language models,

Reference 29

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This paper cites Fedpetuning: When federated learning meets the parameter-efficient tuning methods of pre-trained language models,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Fedpetuning: When federated learning meets the parameter-efficient tuning methods of pre-trained language models,

Reference 30

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Observation 76a2c3ea-7f42-47ac-919b-47e5c9521d0f · outbound

This paper cites Prox- edit: Improving tuning-free real image editing with proximal guidance,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Prox- edit: Improving tuning-free real image editing with proximal guidance,

Reference 31

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Observation 26fdb9f3-ef02-4c2a-9f28-1ad34152546c · outbound

This paper cites Dice: Dis- crete inversion enabling controllable editing for multi- nomial diffusion and masked generative models,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Dice: Dis- crete inversion enabling controllable editing for multi- nomial diffusion and masked generative models,

Reference 32

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This paper cites Score-guided diffusion for 3d human re- covery,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Score-guided diffusion for 3d human re- covery,

Reference 33

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Observation 8e064ffe-f06b-4d31-9c69-6295b1e8a78c · outbound

This paper cites Svdiff: Com- pact parameter space for diffusion fine-tuning,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Svdiff: Com- pact parameter space for diffusion fine-tuning,

Reference 34

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Observation bf69ed32-5c92-44ea-8e94-9c9f80452dd3 · outbound

This paper cites Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models

Reference 35

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This paper cites Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved?,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved?,

Reference 36

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Observation 2fa116c4-8176-4400-8aac-e89b6de27720 · outbound

This paper cites Multi-centre, multi-vendor and multi- disease cardiac segmentation: the m&ms challenge,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Multi-centre, multi-vendor and multi- disease cardiac segmentation: the m&ms challenge,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.192877Z

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Observation d077da97-3f1f-428b-a359-0f05a62e4cb9 · outbound

This paper cites Deep learning segmentation of the right ventricle in cardiac mri: The m&ms challenge,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Deep learning segmentation of the right ventricle in cardiac mri: The m&ms challenge,

Reference 38

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This paper cites U-net: Convolutional networks for biomedical im- age segmentation,.

Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation U-net: Convolutional networks for biomedical im- age segmentation,

Reference 39

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Pith citing papers

Observation 7a5ca3f4-6601-4a07-a05c-b23dc1e068e7 · inbound