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Paper Citation Record · LEDGER

Multi-Kernel TOF-PET Image Reconstruction Using ADMM

As of 22 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2605.29195.

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pith.paper-citation-record.v1
2605.29195 v1

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measured 38 of 38 reference resolution

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38 of 38 outbound references displayed

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Outbound references

Observation 1dc840d6-833e-4c3a-86a4-6d484b7bf7b5 · outbound

This paper cites Pushing Cherenkov PET with BGO via coincidence time resolution classification and correction ,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Pushing Cherenkov PET with BGO via coincidence time resolution classification and correction ,

Reference 1

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Observation 73b6f822-57e0-47f8-8c09-e609080d5611 · outbound

This paper cites BGO as a hybrid scintillator/Cherenkov radiator for cost-effective time-of-flight PET,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM BGO as a hybrid scintillator/Cherenkov radiator for cost-effective time-of-flight PET,

Reference 2

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Observation 9193b9dd-b77c-43ef-a918-14907593e74a · outbound

This paper cites Ultrafast timing enables reconstruction -free positron emission imaging,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Ultrafast timing enables reconstruction -free positron emission imaging,

Reference 3

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Observation 350377fe-6402-4f87-94ed-90e2eed800a2 · outbound

This paper cites Scintillator-integrated microchannel plate photomultiplier tubes for ultrafast timing over keV –GeV energy scales ,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Scintillator-integrated microchannel plate photomultiplier tubes for ultrafast timing over keV –GeV energy scales ,

Reference 4

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Observation 0969d44e-9d1c-438e-babb-f69c3a6500d6 · outbound

This paper cites Towards a metamaterial approach for fast timing in PET: experimental proof-of-concept,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Towards a metamaterial approach for fast timing in PET: experimental proof-of-concept,

Reference 5

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Observation 97334b65-10fe-4740-8b66-a52cc515d9ec · outbound

This paper cites Advances in heterostructured scintillators: toward a new generation of detectors for TOF-PET,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Advances in heterostructured scintillators: toward a new generation of detectors for TOF-PET,

Reference 6

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Observation 5d65a0b1-0785-43e4-a79a-3934be0af5e1 · outbound

This paper cites Toward a second generation of metascintillators using the Purcell effect,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Toward a second generation of metascintillators using the Purcell effect,

Reference 7

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Observation 8670ddf6-a862-4c52-97f4-7b9629a67afa · outbound

This paper cites Timing estimation and limits in TOF -PET detectors producing prompt photons,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Timing estimation and limits in TOF -PET detectors producing prompt photons,

Reference 8

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Observation b07c99ee-9d73-4bbb-83d0-cd398bd2fc74 · outbound

This paper cites Analytic timing calculations and timing limits with prompt photons, high-aspect-ratio crystals, and complex TOF-kernels in TOF-PET,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Analytic timing calculations and timing limits with prompt photons, high-aspect-ratio crystals, and complex TOF-kernels in TOF-PET,

Reference 9

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Observation 2ed9e2e1-9066-46dd-8090-fb9e5bd6b653 · outbound

This paper cites The SNR of positron emission data with Gaussian and non-Gaussian time-of-flight kernels, with application to prompt photon coincidence,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM The SNR of positron emission data with Gaussian and non-Gaussian time-of-flight kernels, with application to prompt photon coincidence,

Reference 10

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Observation 3f7d6808-049f-49c8-a8ba-8aa009c10b0a · outbound

This paper cites TOF-PET image reconstruction with multiple timing kernels applied on Cherenkov radiation in BGO ,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM TOF-PET image reconstruction with multiple timing kernels applied on Cherenkov radiation in BGO ,

Reference 11

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Observation 388e852e-1eb6-4e55-b688-fb5acc9c3c23 · outbound

This paper cites Benefit of time -of-flight in PET: experimental and clinical results,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Benefit of time -of-flight in PET: experimental and clinical results,

Reference 12

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Observation c4bb7980-5f4b-47f6-b1a1-986fa7bc6d7f · outbound

This paper cites Image-reconstruction and noise evaluation in photon time-of-flight assisted positron emission tomography,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Image-reconstruction and noise evaluation in photon time-of-flight assisted positron emission tomography,

Reference 13

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Observation 9cfbbc14-19c6-4243-8404-f26227e6003a · outbound

This paper cites Time of flight in perspective: Instrumental and computational aspects of time resolution in positron emission tomography,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Time of flight in perspective: Instrumental and computational aspects of time resolution in positron emission tomography,

Reference 14

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Observation ba63aab9-c339-4349-93b9-486c0fc3e2b8 · outbound

This paper cites Maximum likelihood reconstruction for emission tomography.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Maximum likelihood reconstruction for emission tomography

Reference 15

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Observation 307173d3-9127-4a3a-8f1b-6ef6ba4cf181 · outbound

This paper cites Noise properties of the EM algorithm: II. Monte Carlo simulations,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Noise properties of the EM algorithm: II. Monte Carlo simulations,

Reference 16

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Observation b33984ea-f6d0-4ba4-b0fd-7e93eac1cee3 · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Distributed optimization and statistical learning via the alternating direction method of multipliers,

Reference 17

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Observation 1d848e44-0b21-453d-8760-3d69cc02d289 · outbound

This paper cites Motion compensation in histogram -mode and list-mode EM reconstructions: beyond the event-driven approach,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Motion compensation in histogram -mode and list-mode EM reconstructions: beyond the event-driven approach,

Reference 18

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Observation 19c5df69-f20d-42c6-a69e-9800ed8f727d · outbound

This paper cites Calculation of the sensitivity image in list-mode reconstruction for PET,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Calculation of the sensitivity image in list-mode reconstruction for PET,

Reference 19

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Observation 2e2c4b54-0be4-4cde-9c65-05c84d1b570e · outbound

This paper cites Lange, D.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Lange, D

Reference 20

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Observation 9c565abe-9538-4fc2-9e0e-e439c2137be9 · outbound

This paper cites Penalized likelihood PET image reconstruction using patch-based edge-preserving regularization,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Penalized likelihood PET image reconstruction using patch-based edge-preserving regularization,

Reference 21

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Observation d9031f6a-ca86-4ddb-abe8-8be6e792636a · outbound

This paper cites Performance evaluation of dedicated brain PET scanner with motion correction system,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Performance evaluation of dedicated brain PET scanner with motion correction system,

Reference 22

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Observation 3b912fb8-35c0-4d91-a865-249591ea7384 · outbound

This paper cites Design and construction of a realistic digital brain phantom,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Design and construction of a realistic digital brain phantom,

Reference 23

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Observation d000df1d-8f53-4b5c-a27c-2ad20301020b · outbound

This paper cites PET performance measurements using the NEMA NU 2 –2001 standard,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM PET performance measurements using the NEMA NU 2 –2001 standard,

Reference 24

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Observation daa57ded-51b2-4b1d-bab5-0366f6a2d68f · outbound

This paper cites One -pass list -mode EM algorithm for high-resolution 3-D PET image reconstruction into large arrays,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM One -pass list -mode EM algorithm for high-resolution 3-D PET image reconstruction into large arrays,

Reference 25

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Observation 47a1632a-3b56-4414-bbb8-011b8a0fdbbf · outbound

This paper cites List-mode PET image reconstruction using deep image prior,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM List-mode PET image reconstruction using deep image prior,

Reference 26

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Observation b4978335-9b00-4692-9867-57bf0aa778cc · outbound

This paper cites PARALLELPROJ—an open -source framework for fast calculation of projections in tomography,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM PARALLELPROJ—an open -source framework for fast calculation of projections in tomography,

Reference 27

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Observation 95911daa-d380-4109-a4c5-f9606d032e26 · outbound

This paper cites Advantages of improved time resolution for TOF -PET at very low statistics,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Advantages of improved time resolution for TOF -PET at very low statistics,

Reference 28

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Observation ea8aa936-7872-4bbf-961b-b037d8051c94 · outbound

This paper cites Impacts of improved TOF timing resolutions on cold contrast of PET images,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Impacts of improved TOF timing resolutions on cold contrast of PET images,

Reference 29

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Observation 857c9943-86ff-4244-b522-3e83f7c8d1ab · outbound

This paper cites Ote , et al., “List-mode PET image reconstruction using Dykstra-like splitting,“ IEEE Trans.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Ote , et al., “List-mode PET image reconstruction using Dykstra-like splitting,“ IEEE Trans

Reference 30

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Observation cc43fe44-5079-435e-8048-15db6fdd6a21 · outbound

This paper cites The Dykstra algorithm with Bregman projections,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM The Dykstra algorithm with Bregman projections,

Reference 31

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Observation 089e3363-4152-4190-820a-9d3da7094772 · outbound

This paper cites Fast and memory-efficient reconstruction of sparse Poisson data in listmode with non -smooth priors with application to time -of-flight PET,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Fast and memory-efficient reconstruction of sparse Poisson data in listmode with non -smooth priors with application to time -of-flight PET,

Reference 32

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Observation 93b5cb6b-3854-4013-ae19-759381681eda · outbound

This paper cites Emphasizing Cherenkov photons from Bismuth Germanate by single photon response deconvolution,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Emphasizing Cherenkov photons from Bismuth Germanate by single photon response deconvolution,

Reference 33

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Observation 4981f073-573b-4885-829b-600be545efd1 · outbound

This paper cites Single photon response deconvolution for boosting an understanding of BGO emission,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Single photon response deconvolution for boosting an understanding of BGO emission,

Reference 34

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Observation ed16a4cd-c992-4766-ab75-5d90378c4abd · outbound

This paper cites Improving timing resolution of BGO for TOF-PET: a comparative analysis with and without deep learning ,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Improving timing resolution of BGO for TOF-PET: a comparative analysis with and without deep learning ,

Reference 35

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Observation 60e24b11-075d-4397-ad7d-4e0a49cb63c2 · outbound

This paper cites Event classification in heterostructured scintillators with limited readout information using neural networks,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Event classification in heterostructured scintillators with limited readout information using neural networks,

Reference 36

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Observation 50d7fb8d-f5fe-4039-8ecd-7c176ed03e96 · outbound

This paper cites Deep learning -based PET image denoising and reconstruction: a review,.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM Deep learning -based PET image denoising and reconstruction: a review,

Reference 37

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source=pdf_text observed=2026-06-29T00:07:24.127563Z digest=sha256:c136b3dc76fa3aa0d4118e208442e15bfc891cc94faefe0318638c9f3012e5ef

Observation 8e407bf5-5c2f-418a-8532-4aa791b5cc05 · outbound

This paper cites S1 RMSE curves as a function of the number of updates, obtained from brain simulation data for the four different fractions of events with fast CTR.

Multi-Kernel TOF-PET Image Reconstruction Using ADMM S1 RMSE curves as a function of the number of updates, obtained from brain simulation data for the four different fractions of events with fast CTR

Reference 38

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doi, observed 2026-06-29T00:12:49.739827Z

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correction dated 2024-03-16. Source: crossref record 10.1007/s12194-024-00794-x->10.1007/s12194-024-00780-3:correction, observed 2026-07-11T03:00:57.496768+00:00. This notice travels one citation hop only.

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Pith citing papers

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