Paper Citation Record · LEDGER

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study

As of 23 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.22790.

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

pith.paper-citation-record.v1
2507.22790 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:21:54.105079Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact15
verified fuzzy5
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 36a2cca3-de24-4beb-9890-24197b2174e0 · outbound

This paper cites an unresolved cited work.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:21:55.111294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 569e6221-0226-4277-a4dd-1ba8574891d4 · outbound

This paper cites Increased magnetic resonance imaging in prostate cancer management—What are the outcomes? Journal of Evaluation in Clinical Practice 2023, 29(6):893-902.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Increased magnetic resonance imaging in prostate cancer management—What are the outcomes? Journal of Evaluation in Clinical Practice 2023, 29(6):893-902

Reference 2

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.329405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 535e73a3-5164-483d-bed4-7224ca6512f8 · outbound

This paper cites EAU Guidelines on Prostate Cancer.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study EAU Guidelines on Prostate Cancer

Reference 3

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.338635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 429f72a7-d427-442d-87b2-57ece86e6099 · outbound

This paper cites In: Lecture Notes in Computer Science.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study In: Lecture Notes in Computer Science

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:55.092254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a504093f-edb6-4db3-9555-8bdbe05a9f73 · outbound

This paper cites Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time

Reference 5

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.319037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3fe6b887-f4a5-47b9-ac67-d1fb7c120546 · outbound

This paper cites Federated learning enables big data for rare cancer boundary detection.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Federated learning enables big data for rare cancer boundary detection

Reference 7

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.309627Z

Source-reported events for the cited work

correction dated 2023-01-26. Source: crossref record 10.1038/s41467-023-36188-7->10.1038/s41467-022-33407-5:correction, observed 2026-07-11T02:59:09.065168+00:00. This notice travels one citation hop only.

Observation 3b870a4f-27e5-4395-9416-7a67ba17b1f3 · outbound

This paper cites FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation

Reference 8

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T11:21:54.971094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ba827bd-16cc-42e0-8c0b-0975751ecd30 · outbound

This paper cites Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:55.082824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c9faa707-a2b9-49bf-be78-9c9594e84a0d · outbound

This paper cites nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.030990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60223a17-9bee-437c-82bf-590a4b493152 · outbound

This paper cites Joint Imaging Platform for Federated Clinical Data Analytics.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Joint Imaging Platform for Federated Clinical Data Analytics

Reference 11

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.273982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 89139888-9bfb-43e4-b12f-c9dd09bbea26 · outbound

This paper cites Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana

Reference 12

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.290763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c92b91f0-016e-4fd7-8a1e-72f6ee117259 · outbound

This paper cites Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures

Reference 13

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.253788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1adf8751-47d6-49a1-874b-93e6ea61c7c1 · outbound

This paper cites Variation-Aware Federated Learning With Multi-Source Decentralized Medical Image Data.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Variation-Aware Federated Learning With Multi-Source Decentralized Medical Image Data

Reference 14

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T11:21:54.901615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c05aacc0-d412-4197-86c3-48594e824531 · outbound

This paper cites Federated learning improves site performance in multicenter deep learning without data sharing.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Federated learning improves site performance in multicenter deep learning without data sharing

Reference 15

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.264200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d6aa1bc1-cc9e-45b4-94cc-6dea8ff7de1c · outbound

This paper cites Prostate158-An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Prostate158-An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:55.073063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c77d48b8-0f3f-43f2-b497-0792fb71f108 · outbound

This paper cites Targeted Biopsy in the Detection of Prostate Cancer Using an Office Based Magnetic Resonance Ultrasound Fusion Device.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Targeted Biopsy in the Detection of Prostate Cancer Using an Office Based Magnetic Resonance Ultrasound Fusion Device

Reference 17

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.234426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 21ae10dd-bdbc-4943-bc4f-406dc862d01e · outbound

This paper cites Federated Learning with Research Prototypes: Application to Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Federated Learning with Research Prototypes: Application to Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology

Reference 18

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.244085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c30b8b23-8a59-47ea-aca3-6addba95c591 · outbound

This paper cites Prostate MRI and ultrasound with pathology and coordinates of tracked biopsy (prostate-MRI-US-biopsy).

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Prostate MRI and ultrasound with pathology and coordinates of tracked biopsy (prostate-MRI-US-biopsy)

Reference 19

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.218902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fff4c7cc-65c8-4084-be75-43d5b02ab6d3 · outbound

This paper cites PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images

Reference 20

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.209508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 298f1ab5-fb88-4515-9ee3-25c21e766418 · outbound

This paper cites Multiparametric Prostate MRI in Biopsy-Naive Men: A Prospective Evaluation of Performance and Biopsy Strategies.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Multiparametric Prostate MRI in Biopsy-Naive Men: A Prospective Evaluation of Performance and Biopsy Strategies

Reference 21

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T11:21:54.707334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c8f0d750-75cc-4aa3-9b9f-c4253d004ec8 · outbound

This paper cites an unresolved cited work.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:21:55.101796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 79a79ef9-8682-4657-a633-0b66d3186399 · outbound

This paper cites The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.056023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e94b648-5ef6-43c9-9507-2e109f985e6e · outbound

This paper cites In: Medical Imaging with Deep Learning, short paper track: Apr 2023.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study In: Medical Imaging with Deep Learning, short paper track: Apr 2023

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:55.063778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 13b73d7f-71b1-4dcf-bb03-0a4e62e054c1 · outbound

This paper cites A comparison of Generative Adversarial Networks for automated prostate cancer detection on T2-weighted MRI.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study A comparison of Generative Adversarial Networks for automated prostate cancer detection on T2-weighted MRI

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.067403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72914358-5bda-41b6-9fba-572133b8654f · outbound

This paper cites Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.070009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45e45512-4865-4534-8e8a-4ec45ccd0e77 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.084329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffb90210-37ca-4e91-a714-dc3aa35891f1 · outbound

This paper cites In: Proc 9th Int Conf Learn Representations: 2020.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study In: Proc 9th Int Conf Learn Representations: 2020

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:55.053974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b91ef684-2be5-4f87-8c6d-b4d7103489ad · outbound

This paper cites Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning-based Prostate Cancer Detection Using Biparametric MRI.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning-based Prostate Cancer Detection Using Biparametric MRI

Reference 30

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.183918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d218006-975c-4480-9ec2-0a4022f8220a · outbound

This paper cites Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.081518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54a12a87-ae1c-4efc-8e47-a1ee3e595859 · outbound

This paper cites Advances and Open Problems in Federated Learning.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Advances and Open Problems in Federated Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.096342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 532f08f9-b1df-4457-9680-99f811736d1d · outbound

This paper cites Review on security of federated learning and its application in healthcare.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Review on security of federated learning and its application in healthcare

Reference 33

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.134872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f15629cf-b319-404a-8ce0-ebadab4695cf · outbound

This paper cites Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.090044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 246fa43e-6e07-4809-bd72-9afe3f91bba4 · outbound

This paper cites Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy

Reference 35

Resolution: verified exact; doi, observed 2026-08-06T11:21:54.150995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 18892662-7adc-4915-b564-aa5211e0d279 · outbound

This paper cites Federated Learning With Differential Privacy: Algorithms and Performance Analysis.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Federated Learning With Differential Privacy: Algorithms and Performance Analysis

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.102334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3db4e68b-2292-4631-87fa-b650945e362f · outbound

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

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Federated learning for medical image analysis: A survey

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.105079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b03949c0-4dc3-43e0-b748-4c3c0ff6f7cb · outbound

This paper cites an unresolved cited work.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.021895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ba7d89e-7d1f-4455-b92e-22a39cefe1e8 · outbound

This paper cites an unresolved cited work.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Unresolved cited work

Reference 148

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.050552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5e46841-093c-4f21-9c05-db0485f4db9a · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Flower: A Friendly Federated Learning Research Framework

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.075629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5534df33-4ca9-4370-86fc-0056aa50c7cd · outbound

This paper cites Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:54.015668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.