Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:58:48.047033Z
Paper Citation Record · LEDGER
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging
As of 16 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:1908.07957.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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
No source-named external measurement is stored.
Outbound references
Observation 3dc2a4b1-d828-4d53-8b73-4cb847aa8f9c · outbound
This paper cites Strickler, and Watt W.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Strickler, and Watt W
Reference 1
- Resolution
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Observation 5872a69f-abfd-43a3-a237-d2cfe53702aa · outbound
This paper cites Deep tissue two-photon microscopy.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Deep tissue two-photon microscopy
Reference 2
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Source-reported events for the cited work
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Observation 4cad2b3d-626c-47bc-875b-c800014dcd8d · outbound
This paper cites High-speed, miniaturized fluorescence microscopy in freely moving mice.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging High-speed, miniaturized fluorescence microscopy in freely moving mice
Reference 3
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Observation f7133e66-ac17-4178-a1f6-b245c4860105 · outbound
This paper cites Hamprecht.
Reference 4
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Observation da26e16b-5a52-4e7b-a88f-fb2e7a93b734 · outbound
This paper cites Neurofinder public benchmark.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Neurofinder public benchmark
Reference 5
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Observation c92429a7-35bc-4ad5-91c5-424ac2c13063 · outbound
This paper cites Chet- tih, Matthias Minderer, Christopher Harvey, and Dorit S.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Chet- tih, Matthias Minderer, Christopher Harvey, and Dorit S
Reference 6
- Resolution
- verified exact
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Observation 23d94d50-3ff0-4778-86ec-8b812acfb1fd · outbound
This paper cites Automated analysis of cellular signals from large-scale cal- cium imaging data.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Automated analysis of cellular signals from large-scale cal- cium imaging data
Reference 7
- Resolution
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Source-reported events for the cited work
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Observation aa8dd0ad-c637-4619-940d-c2017d77b90c · outbound
This paper cites Sparse non- negative deconvolution for compressive calcium imaging: algorithms and phase transitions.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Sparse non- negative deconvolution for compressive calcium imaging: algorithms and phase transitions
Reference 8
- Resolution
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Observation e762603e-1dc7-411c-a6c4-72803523e915 · outbound
This paper cites Rank-penalized nonnegative spatiotemporal deconvolu- tion and demixing of calcium imaging data.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Rank-penalized nonnegative spatiotemporal deconvolu- tion and demixing of calcium imaging data
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 1c02becb-88b4-4223-98c1-097676358901 · outbound
This paper cites A structured matrix factorization framework for large scale calcium imaging data analysis.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging A structured matrix factorization framework for large scale calcium imaging data analysis
Reference 10
- Resolution
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Source-reported events for the cited work
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Observation c8663e4c-42c5-4d60-9d86-479d419b3811 · outbound
This paper cites Sparse space-time deconvolution for calcium image analysis.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Sparse space-time deconvolution for calcium image analysis
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3182401c-cd9b-466b-9505-6c9e53034074 · outbound
This paper cites Detecting cells using non-negative matrix factorization on calcium imaging data.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Detecting cells using non-negative matrix factorization on calcium imaging data
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d1437fea-779c-4c77-875a-2026ec763817 · outbound
This paper cites Pnevmatikakis, Daniel Soudry, Yuanjun Gao, Timothy A.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Pnevmatikakis, Daniel Soudry, Yuanjun Gao, Timothy A
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation abc0767d-8c71-4fdd-9243-87e36fb2b2f3 · outbound
This paper cites Fast online deconvolution of calcium imaging data.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Fast online deconvolution of calcium imaging data
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 708216f1-ed49-4573-9994-da7489f0676b · outbound
This paper cites Erdogdu, and Mark Schnitzer.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Erdogdu, and Mark Schnitzer
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation d0af82f4-7437-456f-b31b-98d55aca13d5 · outbound
This paper cites Onacid: Online analysis of cal- cium imaging data in real time.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Onacid: Online analysis of cal- cium imaging data in real time
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation fad02bf4-f9b4-4da4-99ee-8507bcc87aae · outbound
This paper cites Efficient and accurate extraction of in vivo calcium signals from microen- doscopic video data.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Efficient and accurate extraction of in vivo calcium signals from microen- doscopic video data
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 9d9a2018-bdaa-499b-a00a-d522fc266b08 · outbound
This paper cites Caiman an open source tool for scalable calcium imaging data analysis.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Caiman an open source tool for scalable calcium imaging data analysis
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 76cbf567-7443-4d15-9ff2-e993f5e6f830 · outbound
This paper cites SIMA: Python software for analysis of dynamic fluorescence imaging data.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging SIMA: Python software for analysis of dynamic fluorescence imaging data
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation ee017342-ed0b-4db3-a32d-3093fce8380c · outbound
This paper cites Hamprecht.
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation 87179cfe-ca64-447d-82b1-b19b3fe48034 · outbound
This paper cites Learning multi-level sparse representations.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Learning multi-level sparse representations
Reference 21
- Resolution
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Source-reported events for the cited work
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Observation cb6d2e40-f7f9-45d2-902e-5fc290622366 · outbound
This paper cites Extracting regions of interest from biological images with convolutional sparse block coding.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Extracting regions of interest from biological images with convolutional sparse block coding
Reference 22
- Resolution
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Observation 537a1115-c73b-47e3-a26a-5b310b4b0321 · outbound
This paper cites Scalpel: Extracting neurons from calcium imaging data.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Scalpel: Extracting neurons from calcium imaging data
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation aecc63fd-5f76-486b-8796-b2f22a52b096 · outbound
This paper cites Apthorpe, Alexander J.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Apthorpe, Alexander J
Reference 24
- Resolution
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Observation be8086ca-0d1e-4393-99ea-fa0d90331f57 · outbound
This paper cites Fast, simple calcium imaging segmentation with fully convolutional networks.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Fast, simple calcium imaging segmentation with fully convolutional networks
Reference 25
- Resolution
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Observation 0039aa35-0023-462b-83ec-ab5e7d97d15a · outbound
This paper cites Fast and robust active neu- ron segmentation in two-photon calcium imaging using spa- tiotemporal deep learning.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Fast and robust active neu- ron segmentation in two-photon calcium imaging using spa- tiotemporal deep learning
Reference 26
- Resolution
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Observation 2a213156-0bfe-435f-ba2e-d33e8b3fd54c · outbound
This paper cites an unresolved cited work.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Unresolved cited work
Reference 27
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Observation 9d859eac-704f-4276-91dc-694210300f9f · outbound
This paper cites Suite2p: beyond 10,000 neu- rons with standard two-photon microscopy.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Suite2p: beyond 10,000 neu- rons with standard two-photon microscopy
Reference 28
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Observation 3b78b543-bbca-4b3b-8402-a7e7f1c02eeb · outbound
This paper cites Allen Brain Observatory (ABO) datasets.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Allen Brain Observatory (ABO) datasets
Reference 29
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Observation c204755b-b59a-4965-9529-264efd0dba1f · outbound
This paper cites Scaled correlation analysis: a better way to compute a cross-correlogram.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Scaled correlation analysis: a better way to compute a cross-correlogram
Reference 30
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Observation 995a95ee-b336-45cc-8690-4e8633dcb0b1 · outbound
This paper cites Synchronisation hubs in the visual cor- tex may arise from strong rhythmic inhibition during gamma oscillations.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Synchronisation hubs in the visual cor- tex may arise from strong rhythmic inhibition during gamma oscillations
Reference 31
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Observation d78bb0ad-4d67-4743-b3b7-7964109f3e84 · outbound
This paper cites A scaled- correlation based approach for defining and analyzing func- tional networks.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging A scaled- correlation based approach for defining and analyzing func- tional networks
Reference 32
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Observation 7b3107d2-2b52-43fd-a70c-e88698b54478 · outbound
This paper cites Notes on regression and inheritance in the case of two parents.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Notes on regression and inheritance in the case of two parents
Reference 33
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Observation cb329267-e832-48e6-bfa9-45035a161c28 · outbound
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DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Measur- ing and testing dependence by correlation of distances
Reference 34
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Source-reported events for the cited work
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Observation e984f9b7-f4f5-4ef3-8594-cea5c634dee4 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging U-net: Convolutional networks for biomedical image segmentation
Reference 35
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Observation b0252416-1cef-4272-aaa8-9a8d20a76ae8 · outbound
This paper cites Measures of the amount of ecologic association between species.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Measures of the amount of ecologic association between species
Reference 36
- Resolution
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Observation 23dfbf65-6efe-40bf-93ee-1c9c6c9cbfc6 · outbound
This paper cites A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analyses of the vegeta- tion on danish commons.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analyses of the vegeta- tion on danish commons
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3fbf5965-ee21-4065-bc47-cf9687bc7259 · outbound
This paper cites Ham- precht.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Ham- precht
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation e4b97725-c04c-4936-b527-cf59681d4b63 · outbound
This paper cites GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation
Reference 39
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Source-reported events for the cited work
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Observation e279ccb5-179e-430a-9388-a425d025eba1 · outbound
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DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Efficient decomposition of image and mesh graphs by lifted multi- cuts
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5df64765-bc15-47ea-8969-5c838ebf855c · outbound
This paper cites A comparative study of local search algorithms for correlation clustering.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging A comparative study of local search algorithms for correlation clustering
Reference 41
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6d532868-bdc1-4d68-8167-fb7473a23e1b · outbound
This paper cites Adam: A method for stochastic optimization.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Adam: A method for stochastic optimization
Reference 42
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cb2a5309-82b7-4df6-a96e-54586154756c · outbound
This paper cites an unresolved cited work.
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging Unresolved cited work
Reference 2019
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Source-reported events for the cited work
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Pith citing papers
No inbound Pith citation observations are available.