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Paper Citation Record · LEDGER

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2505.09197.

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

pith.paper-citation-record.v1
2505.09197 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:43:42.078819Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Reference 1

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This paper cites Armando Manduca, Philip J Bayly, Richard L Ehman, Arunark Kolipaka, Thomas J Royston, Ingolf Sack, Ralph Sinkus, and Bernard E Van Beers.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer Armando Manduca, Philip J Bayly, Richard L Ehman, Arunark Kolipaka, Thomas J Royston, Ingolf Sack, Ralph Sinkus, and Bernard E Van Beers

Reference 6

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This paper cites Sarah R Amend and Kenneth J Pienta.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer Sarah R Amend and Kenneth J Pienta

Reference 13

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This paper cites E Sala, E Mema, Y Himoto, H Veeraraghavan, J D Brenton, A Snyder, B Weigelt, and H A Vargas.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer E Sala, E Mema, Y Himoto, H Veeraraghavan, J D Brenton, A Snyder, B Weigelt, and H A Vargas

Reference 14

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Reference 15

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Reference 17

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This paper cites Camilla Panico, Giacomo Avesani, Konstantinos Zormpas-Petridis, Leonardo Rundo, Camilla Nero, and Evis Sala.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer Camilla Panico, Giacomo Avesani, Konstantinos Zormpas-Petridis, Leonardo Rundo, Camilla Nero, and Evis Sala

Reference 18

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Reference 19

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Observation 7cea2a7a-5282-43f9-b0f9-7f324e0de75f · outbound

This paper cites doi:10.1016/j.acra.2017.09.023.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer doi:10.1016/j.acra.2017.09.023

Reference 20

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Reference 22

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This paper cites doi:10.1200/JCO.2015.64.2702.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer doi:10.1200/JCO.2015.64.2702

Reference 25

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This paper cites doi:10.1016/j.eururo.2016.05.033.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer doi:10.1016/j.eururo.2016.05.033

Reference 27

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This paper cites 23 Generalizing imaging biomarker repeatability studies using Bayesian inference Andrew Gelman and Donald B Rubin.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer 23 Generalizing imaging biomarker repeatability studies using Bayesian inference Andrew Gelman and Donald B Rubin

Reference 29

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This paper cites Michael D Lee and Eric-Jan Wagenmakers.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer Michael D Lee and Eric-Jan Wagenmakers

Reference 30

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Reference 31

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Observation 55bb3594-8b3e-4495-bf59-b7eb21fcd46b · outbound

This paper cites Matthew David Blackledge, DM Koh, David J Collins, Erica Scurr, Julie Hughes, M Leach, et al.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer Matthew David Blackledge, DM Koh, David J Collins, Erica Scurr, Julie Hughes, M Leach, et al

Reference 32

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Observation 20d1ea38-5728-4de9-877e-bdc9ae37af23 · outbound

This paper cites Computer-aided detection of focal bone metastases from whole-body multi-modal mri.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer Computer-aided detection of focal bone metastases from whole-body multi-modal mri

Reference 34

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Reference 35

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Reference 36

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Reference 37

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Reference 38

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Observation b27ac207-c20a-466a-ac87-207e1cb79043 · outbound

This paper cites Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou

Reference 39

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This paper cites Hania Paverd, Konstantinos Zormpas-Petridis, Hannah Clayton, Sarah Burge, and Mireia Crispin-Ortuzar.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer Hania Paverd, Konstantinos Zormpas-Petridis, Hannah Clayton, Sarah Burge, and Mireia Crispin-Ortuzar

Reference 41

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This paper cites doi:10.1016/S0140-6736(86)90837-8.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer doi:10.1016/S0140-6736(86)90837-8

Reference 1986

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Observation b3fb4615-8af5-4679-b239-0641b98e5d7a · outbound

This paper cites Stanislav Pidhorskyi, Ranya Almohsen, and Gianfranco Doretto.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer Stanislav Pidhorskyi, Ranya Almohsen, and Gianfranco Doretto

Reference 2001

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This paper cites Matthew D Blackledge, David J Collins, Dow-Mu Koh, and Martin O Leach.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer Matthew D Blackledge, David J Collins, Dow-Mu Koh, and Martin O Leach

Reference 2004

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This paper cites Dow-Mu Koh and David J Collins.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer Dow-Mu Koh and David J Collins

Reference 2006

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This paper cites Alexey Surov, Hans Jonas Meyer, and Andreas Wienke.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer Alexey Surov, Hans Jonas Meyer, and Andreas Wienke

Reference 2007

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Source-reported events for the cited work

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This paper cites doi:10.1016/J.EJCA.2008.10.026.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer doi:10.1016/J.EJCA.2008.10.026

Reference 2009

Resolution
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Observation 6107cd18-e3a7-4e8f-822b-8257bfe38cf8 · outbound

This paper cites 25 Generalizing imaging biomarker repeatability studies using Bayesian inference Supplementary Material 7.1 Mathematical derivations Theorem 7.1.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer 25 Generalizing imaging biomarker repeatability studies using Bayesian inference Supplementary Material 7.1 Mathematical derivations Theorem 7.1

Reference 2010

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This paper cites Parvinder Sujlana, Jan Skrok, and Laura M Fayad.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer Parvinder Sujlana, Jan Skrok, and Laura M Fayad

Reference 2012

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Observation c4315b48-3917-48fe-b81d-52322995bbfc · outbound

This paper cites doi:10.1371/journal.pone.0091779.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer doi:10.1371/journal.pone.0091779

Reference 2014

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Reference 2015

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correction dated 2015-07-13. Source: crossref record 10.1016/j.ccell.2015.06.007->10.1016/j.ccell.2014.12.001:correction, observed 2026-07-11T03:18:29.438905+00:00. This notice travels one citation hop only.

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Reference 2016

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Reference 2017

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Unavailable: canonical work link unavailable.

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Reference 2018

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Reference 2019

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Reference 2020

Resolution
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Reference 2021

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Source-reported events for the cited work

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This paper cites doi:https://doi.org/10.1016/j.acra.2021.06.009.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer doi:https://doi.org/10.1016/j.acra.2021.06.009

Reference 2022

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This paper cites URL https://doi.org/10.1038/ s42254-022-00543-2.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer URL https://doi.org/10.1038/ s42254-022-00543-2

Reference 2023

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This paper cites Nicholas McGranahan and Charles Swanton.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer Nicholas McGranahan and Charles Swanton

Reference 2024

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This paper cites URL https://www.sciencedirect.com/science/ article/pii/S0895435607004131.

Generalizing imaging biomarker repeatability studies using Bayesian inference: Applications in detecting heterogeneous treatment response in whole-body diffusion-weighted MRI of metastatic prostate cancer URL https://www.sciencedirect.com/science/ article/pii/S0895435607004131

Reference 4356

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Pith citing papers

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