Cell as Point: One-Stage Framework for Efficient Cell Tracking | Paper Citation Record

Observation 65cd30a7-07ca-4500-8a2f-7ce52ee0c1b4 · outbound

This paper cites Multi-class cell de- tection using spatial context representation.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Multi-class cell de- tection using spatial context representation

Reference 1

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Observation 1036c470-cc5d-4d7e-9ff6-eb492d4b5b6a · outbound

This paper cites Joint cell segmentation and tracking using cell proposals.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Joint cell segmentation and tracking using cell proposals

Reference 2

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Observation f94e5f6d-c98b-417d-a9c9-bdaf882f6824 · outbound

This paper cites Cell Tracking via Proposal Generation and Selection.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell Tracking via Proposal Generation and Selection

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:53:01.753507Z

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Observation 7094a668-c6c1-4ecd-8d2c-e73a691714e9 · outbound

This paper cites an unresolved cited work.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Unresolved cited work

Reference 4

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Observation 252c3ddf-48db-4fc6-a3ce-62dc6db18339 · outbound

This paper cites A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos.Medical image analysis, pages 140–152, 2018.

Cell as Point: One-Stage Framework for Efficient Cell Tracking A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos.Medical image analysis, pages 140–152, 2018

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.337455Z

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Observation b7e0497a-368c-4635-ba60-af7f4c7e5131 · outbound

This paper cites FitVid: Overfitting in Pixel-Level Video Prediction.

Cell as Point: One-Stage Framework for Efficient Cell Tracking FitVid: Overfitting in Pixel-Level Video Prediction

Reference 6

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Observation 9b231afe-68e4-47c8-b4de-83f744495180 · outbound

This paper cites Dmnet: Dual-stream marker guided deep network for dense cell segmentation and lineage tracking.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Dmnet: Dual-stream marker guided deep network for dense cell segmentation and lineage tracking

Reference 7

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Observation 4b40c88a-3ee3-44d5-8ad7-84299d6dab76 · outbound

This paper cites Graph neural net- work for cell tracking in microscopy videos.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Graph neural net- work for cell tracking in microscopy videos

Reference 8

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Observation bf6204bc-5772-4995-948f-f9ac4e7cfbdc · outbound

This paper cites Cell segmentation and tracking in phase contrast images using graph cut with asymmetric boundary costs.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell segmentation and tracking in phase contrast images using graph cut with asymmetric boundary costs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.356782Z

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Observation 36e3db6b-386d-4eac-bcaa-2a93030c19ca · outbound

This paper cites Reliable cell tracking by global data association.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Reliable cell tracking by global data association

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.360520Z

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Observation 92bb61e6-0b5a-471a-9b7e-50331ed4a823 · outbound

This paper cites Cell tracking under high confluency conditions by candidate cell region detection-based-association ap- proach.Biomedical Engineering, pages 1004–1010, 2013.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell tracking under high confluency conditions by candidate cell region detection-based-association ap- proach.Biomedical Engineering, pages 1004–1010, 2013

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.364251Z

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Observation 526b88fb-ba90-4415-a3a0-5ee027d12715 · outbound

This paper cites High- speed tracking-by-detection without using image informa- tion.

Cell as Point: One-Stage Framework for Efficient Cell Tracking High- speed tracking-by-detection without using image informa- tion

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.368072Z

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Observation 8e5573db-adee-48e1-8394-c6829cd23973 · outbound

This paper cites Ultrack: pushing the limits of cell tracking across biological scales.bioRxiv, 2024.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Ultrack: pushing the limits of cell tracking across biological scales.bioRxiv, 2024

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.371886Z

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Observation c9c81dc9-c7d6-4ad2-89c5-2a37b64df4e1 · outbound

This paper cites Large- scale multi-hypotheses cell tracking using ultrametric con- tours maps.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Large- scale multi-hypotheses cell tracking using ultrametric con- tours maps

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.375254Z

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Observation c03f5c85-3e97-471b-9711-248efb8b3fcc · outbound

This paper cites Lucas/kanade meets horn/schunck: Combining local and global optic flow methods.International Journal of Com- puter Vision, pages 211–231, 2005.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Lucas/kanade meets horn/schunck: Combining local and global optic flow methods.International Journal of Com- puter Vision, pages 211–231, 2005

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.378831Z

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Observation 3c7ed69f-ce3d-4f1c-8a8f-00c6855e6550 · outbound

This paper cites Automated detection and tracking of cell clusters in time-lapse fluorescence microscopy im- ages.Journal of Medical and Biological Engineering, pages 18–25, 2017.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Automated detection and tracking of cell clusters in time-lapse fluorescence microscopy im- ages.Journal of Medical and Biological Engineering, pages 18–25, 2017

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.382307Z

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Observation e9d19596-aa21-404a-9cf3-6ef78053593f · outbound

This paper cites Cmtt-jtracker: a fully test-time adaptive framework serving automated cell lineage construction.Briefings in Bioinformatics, 25(6): bbae591, 2024.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cmtt-jtracker: a fully test-time adaptive framework serving automated cell lineage construction.Briefings in Bioinformatics, 25(6): bbae591, 2024

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.385890Z

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Observation 0185a4c4-60dc-430f-afbf-089f5f79ad02 · outbound

This paper cites Chapter 5 - cell tracking in time-lapse microscopy image sequences.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Chapter 5 - cell tracking in time-lapse microscopy image sequences

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.599618Z

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Observation 348b48ab-2c55-451f-8774-d3d415235223 · outbound

This paper cites Cell- track r-cnn: A novel end-to-end deep neural network for cell segmentation and tracking in microscopy images.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell- track r-cnn: A novel end-to-end deep neural network for cell segmentation and tracking in microscopy images

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.587857Z

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Observation 8be04f68-b0ee-4766-84b1-1f9d42736727 · outbound

This paper cites TAP-vid: A benchmark for track- ing any point in a video.Advances in Neural Information Processing Systems, pages 13610–13626, 2022.

Cell as Point: One-Stage Framework for Efficient Cell Tracking TAP-vid: A benchmark for track- ing any point in a video.Advances in Neural Information Processing Systems, pages 13610–13626, 2022

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.576009Z

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Observation 8abc461c-d7ae-48eb-874f-ddb02e0f84e7 · outbound

This paper cites Flownet: Learning optical flow with convolutional networks.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Flownet: Learning optical flow with convolutional networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.563377Z

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Observation 7e3d0a19-5e38-475b-acf3-29745a18ce29 · outbound

This paper cites Cell mi- gration/invasion assays and their application in cancer drug discovery.Biotechnology annual review, pages 391–421,.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell mi- gration/invasion assays and their application in cancer drug discovery.Biotechnology annual review, pages 391–421,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.552549Z

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Observation b0462638-a338-4028-89d6-1ec132b4ff8e · outbound

This paper cites Comput- erized cell tracking: Current methods, tools and challenges.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Comput- erized cell tracking: Current methods, tools and challenges

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.541229Z

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Observation 06edad1a-ed83-47f3-bdbf-1cc383a0b05e · outbound

This paper cites Automatic fusion of segmentation and tracking labels.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Automatic fusion of segmentation and tracking labels

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.530198Z

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Observation 65a84665-460c-4627-8240-f274ff60fdbb · outbound

This paper cites Deepkymotracker: A tool for accurate construction of cell lineage trees for highly motile cells.PloS one, 20(2):e0315947, 2025.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Deepkymotracker: A tool for accurate construction of cell lineage trees for highly motile cells.PloS one, 20(2):e0315947, 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.519684Z

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Observation cdc82893-a0ae-482b-8f91-f13a1ccb13ca · outbound

This paper cites Trackastra: Transformer-based cell tracking for live-cell microscopy.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Trackastra: Transformer-based cell tracking for live-cell microscopy

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.508928Z

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Observation fb28b513-c109-4cfe-b86c-75f8a80b3b49 · outbound

This paper cites The light-sheet microscopy revolution.Journal of Optics, page 053002,.

Cell as Point: One-Stage Framework for Efficient Cell Tracking The light-sheet microscopy revolution.Journal of Optics, page 053002,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.497172Z

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Observation 1e910d84-ad73-4574-917d-8548000a0684 · outbound

This paper cites Celltrackscolab is a plat- form that enables compilation, analysis, and exploration of cell tracking data.Plos Biology, 22(8):e3002740, 2024.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Celltrackscolab is a plat- form that enables compilation, analysis, and exploration of cell tracking data.Plos Biology, 22(8):e3002740, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.486171Z

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Observation 8ecb872e-4d53-4838-8623-73be8fcbcb86 · outbound

This paper cites Particle video revisited: Tracking through occlusions using point trajectories.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Particle video revisited: Tracking through occlusions using point trajectories

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.475756Z

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Observation 7d20cbdb-6192-4bfa-8823-39a3c9077bcc · outbound

This paper cites Cell tracking with deep learning for cell detection and motion estimation in low- frame-rate.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell tracking with deep learning for cell detection and motion estimation in low- frame-rate

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.465831Z

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Observation 5df20900-d7be-408f-ba53-2190b7040e12 · outbound

This paper cites Mpm: Joint representation of motion and position map for cell tracking.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Mpm: Joint representation of motion and position map for cell tracking

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.455879Z

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Observation 3c4bb56b-859a-479d-b5cb-0d2d0d44d3e1 · outbound

This paper cites Con- sistent cell tracking in multi-frames with spatio-temporal context by object-level warping loss.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Con- sistent cell tracking in multi-frames with spatio-temporal context by object-level warping loss

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.445184Z

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Observation 717a32f0-ed97-4c61-a5dd-0f1cc531adf1 · outbound

This paper cites an unresolved cited work.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:53:02.434337Z

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Observation 097c9d47-ee23-4bd7-a8d5-517935605654 · outbound

This paper cites Visual tracking of numerous targets via multi- bernoulli filtering of image data.Pattern Recognition, pages 3625–3635, 2012.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Visual tracking of numerous targets via multi- bernoulli filtering of image data.Pattern Recognition, pages 3625–3635, 2012

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.424066Z

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Observation 73db8bc7-9ac9-4b2d-aea7-73cdc37c1cdf · outbound

This paper cites Visual mitosis detection and cell tracking using labeled multi-bernoulli filter.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Visual mitosis detection and cell tracking using labeled multi-bernoulli filter

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.413443Z

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Observation c7f1c81c-b0a7-4b23-b81c-fbc2c8a0fa48 · outbound

This paper cites Flownet 2.0: Evolu- tion of optical flow estimation with deep networks.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Flownet 2.0: Evolu- tion of optical flow estimation with deep networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.403279Z

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Observation 5b875275-7553-4008-8986-938cfc556961 · outbound

This paper cites Cell division and the mitotic spindle.The Journal of cell biology, pages 131s–147s, 1981.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell division and the mitotic spindle.The Journal of cell biology, pages 131s–147s, 1981

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.393090Z

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Observation c711da12-cefd-4d93-9be5-c460b072cfc6 · outbound

This paper cites Unsupervised learning of multi-frame optical flow with occlusions.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Unsupervised learning of multi-frame optical flow with occlusions

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.382797Z

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Observation 84f80388-fe43-4143-ac42-e2ae1de6e5d9 · outbound

This paper cites Multiple particle tracking in time-lapse synchrotron x-ray images using dis- criminative appearance and neighbouring topology learning.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Multiple particle tracking in time-lapse synchrotron x-ray images using dis- criminative appearance and neighbouring topology learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.372807Z

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Observation 445b9e68-e1a5-4e8a-9007-178e4b4a7bbd · outbound

This paper cites Tracking correction method for rapid and random protein molecules movement.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Tracking correction method for rapid and random protein molecules movement

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.362408Z

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Observation 537049cf-1e7a-4929-937a-9106947eabcf · outbound

This paper cites Measures for ranking cell trackers without manual validation.Pattern recognition, pages 2849–2859, 2013.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Measures for ranking cell trackers without manual validation.Pattern recognition, pages 2849–2859, 2013

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.352667Z

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Observation 8284d63d-7d05-41ad-94fe-6fd26af9d043 · outbound

This paper cites CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos.

Cell as Point: One-Stage Framework for Efficient Cell Tracking CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.479031Z

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Observation d5ce06c5-55db-40dc-bd2f-f279ee6352cc · outbound

This paper cites Co- Tracker: It is better to track together.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Co- Tracker: It is better to track together

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.342198Z

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Observation 8a87dd06-b32d-4448-8948-5f5ca898f054 · outbound

This paper cites Phase contrast time-lapse microscopy datasets with auto- mated and manual cell tracking annotations.Scientific data, 5(1):1–12, 2018.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Phase contrast time-lapse microscopy datasets with auto- mated and manual cell tracking annotations.Scientific data, 5(1):1–12, 2018

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.331707Z

Source-reported events for the cited work

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Observation 77442f13-efa8-4ef8-a501-81c285ff0d69 · outbound

This paper cites Cell tracking-by- detection using elliptical bounding boxes.Journal of Visual Communication and Image Representation, page 104425,.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell tracking-by- detection using elliptical bounding boxes.Journal of Visual Communication and Image Representation, page 104425,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.321462Z

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Observation 8c0ff4ed-c724-4da5-afe4-04239edc4e86 · outbound

This paper cites Learning from imbalanced data: open challenges and future directions.Progress in artificial intel- ligence, pages 221–232, 2016.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Learning from imbalanced data: open challenges and future directions.Progress in artificial intel- ligence, pages 221–232, 2016

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.310730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f8def402-3d32-4ce0-a29f-bd4c5ab59eb0 · outbound

This paper cites Spatial omics and multiplexed imaging to explore cancer biology.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Spatial omics and multiplexed imaging to explore cancer biology

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.300312Z

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Observation a4a886b8-5f2e-4465-91bc-f342967bb7f8 · outbound

This paper cites Cell population tracking and lineage construction with spatiotemporal context.Medical image analysis, pages 546–566, 2008.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell population tracking and lineage construction with spatiotemporal context.Medical image analysis, pages 546–566, 2008

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.289048Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41efbcab-b2cb-4cff-b976-0cdaac8858a4 · outbound

This paper cites Towards an end-to-end framework for flow-guided video inpainting.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Towards an end-to-end framework for flow-guided video inpainting

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.278227Z

Source-reported events for the cited work

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Observation 5a89f5ec-7939-45a7-b8c3-3e9c6116f6bf · outbound

This paper cites Mitosis detection in phase contrast microscopy image sequences of stem cell populations: A critical review.IEEE Transactions on Big Data, pages 443–457, 2017.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Mitosis detection in phase contrast microscopy image sequences of stem cell populations: A critical review.IEEE Transactions on Big Data, pages 443–457, 2017

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.267681Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a01cc9c2-7e2c-49fa-bacf-83cb3226f865 · outbound

This paper cites Overfitting the data: Compact neu- ral video delivery via content-aware feature modulation.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Overfitting the data: Compact neu- ral video delivery via content-aware feature modulation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.257066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5984e37d-9a8e-4454-b009-16963e15edcc · outbound

This paper cites Automatic 3d tracking system for large swarm of moving objects.Pattern Recognition, pages 384–396, 2016.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Automatic 3d tracking system for large swarm of moving objects.Pattern Recognition, pages 384–396, 2016

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.246285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d1de3fe-9f2e-4be2-b69f-223d42af6e0b · outbound

This paper cites A graph- based cell tracking algorithm with few manually tunable pa- rameters and automated segmentation error correction.PloS one, page e0249257, 2021.

Cell as Point: One-Stage Framework for Efficient Cell Tracking A graph- based cell tracking algorithm with few manually tunable pa- rameters and automated segmentation error correction.PloS one, page e0249257, 2021

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.235460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 42224a9d-a310-403d-aa5a-9578e2327d1e · outbound

This paper cites Embed- track—simultaneous cell segmentation and tracking through learning offsets and clustering bandwidths.IEEE Access, pages 77147–77157, 2022.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Embed- track—simultaneous cell segmentation and tracking through learning offsets and clustering bandwidths.IEEE Access, pages 77147–77157, 2022

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.223034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 53a3f30d-586f-4b30-8851-08045c6a1444 · outbound

This paper cites Tracking of non- brownian particles using the viterbi algorithm.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Tracking of non- brownian particles using the viterbi algorithm

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.212013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 156a6a8b-85df-4cb4-872a-75da68e98912 · outbound

This paper cites an unresolved cited work.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:53:02.200793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5ad24513-9a68-4037-ac8e-4a2070a3b2c3 · outbound

This paper cites The cell tracking challenge: 10 years of objective benchmarking.Nature Methods, pages 1010–1020, 2023.

Cell as Point: One-Stage Framework for Efficient Cell Tracking The cell tracking challenge: 10 years of objective benchmarking.Nature Methods, pages 1010–1020, 2023

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.190287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 48e32f44-e646-4c07-848b-5cf6ef52300b · outbound

This paper cites Cell tracking accuracy measurement based on comparison of acyclic oriented graphs.PloS one, page e0144959, 2015.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell tracking accuracy measurement based on comparison of acyclic oriented graphs.PloS one, page e0144959, 2015

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.179742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9adbf80b-a467-4804-b9a0-9620d7b64066 · outbound

This paper cites Accurate cell tracking and lineage construction in live-cell imaging ex- periments with deep learning.Biorxiv, page 803205, 2019.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Accurate cell tracking and lineage construction in live-cell imaging ex- periments with deep learning.Biorxiv, page 803205, 2019

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.169197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7c8a5d2d-2276-4765-a9b3-4feef01544dd · outbound

This paper cites an unresolved cited work.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:53:02.158396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b424a6a9-b080-4b16-978a-abef6a1a3525 · outbound

This paper cites Weakly-supervised cell tracking via backward-and-forward propagation.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Weakly-supervised cell tracking via backward-and-forward propagation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.147557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd371163-0a23-464f-94ab-33f096766587 · outbound

This paper cites Distnet2d: Leveraging long-range temporal information for efficient segmentation and track- ing.PRX Life, page 023004, 2024.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Distnet2d: Leveraging long-range temporal information for efficient segmentation and track- ing.PRX Life, page 023004, 2024

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.136652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01ecdb86-91a4-4a45-b105-960ed235b57f · outbound

This paper cites Cell-tractr: A transformer-based model for end-to-end segmentation and tracking of cells.bioRxiv, pages 2024–07, 2024.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell-tractr: A transformer-based model for end-to-end segmentation and tracking of cells.bioRxiv, pages 2024–07, 2024

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.126526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49c68b02-a99c-4728-9df6-b6a817f04973 · outbound

This paper cites Cell-tractr: A transformer-based model for end-to-end segmentation and tracking of cells.PLOS Computational Biology, page e1013071, 2025.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell-tractr: A transformer-based model for end-to-end segmentation and tracking of cells.PLOS Computational Biology, page e1013071, 2025

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.115597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9980c67c-a4e1-43f4-a8e2-7f275bb313c7 · outbound

This paper cites Cou- pled minimum-cost flow cell tracking for high-throughput quantitative analysis.Medical image analysis, pages 650– 668, 2011.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cou- pled minimum-cost flow cell tracking for high-throughput quantitative analysis.Medical image analysis, pages 650– 668, 2011

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.104270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1cdc19e4-32b0-42fb-92ca-766b5424858a · outbound

This paper cites Instance segmentation and tracking with cosine embeddings and recurrent hourglass networks.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Instance segmentation and tracking with cosine embeddings and recurrent hourglass networks

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.092629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ece5fdcb-5913-428b-8d74-7a313e483eef · outbound

This paper cites J regularization improves imbalanced multiclass seg- mentation.

Cell as Point: One-Stage Framework for Efficient Cell Tracking J regularization improves imbalanced multiclass seg- mentation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.081651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ab4049d-ddf6-4ae8-878d-a76ba0eed923 · outbound

This paper cites Cell lin- eage tracing in lens-free microscopy videos.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell lin- eage tracing in lens-free microscopy videos

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.070105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2a73466c-f261-4792-8f3b-39b5434a7cf8 · outbound

This paper cites Cell tracking and the development of cell-based therapies: a view from the cardiovascular cell therapy research network.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell tracking and the development of cell-based therapies: a view from the cardiovascular cell therapy research network

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.058518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ab73cef-5387-4851-afc8-1be0a24aace7 · outbound

This paper cites Cell segmentation and tracking using cnn-based dis- tance predictions and a graph-based matching strategy.PLoS One, page e0243219, 2020.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell segmentation and tracking using cnn-based dis- tance predictions and a graph-based matching strategy.PLoS One, page e0243219, 2020

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.046141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 611db1ab-0600-45ac-b4db-1d8011f16a70 · outbound

This paper cites Omni- flow: Human omnidirectional optical flow.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Omni- flow: Human omnidirectional optical flow

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.033922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dab6111b-d449-4fba-9265-e6748b663c4e · outbound

This paper cites Bayesian tracking for fluorescence microscopic imaging.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Bayesian tracking for fluorescence microscopic imaging

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.020962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9e3509e9-cd4b-47af-b582-fe7fe13fd132 · outbound

This paper cites Fuzzy-based propaga- tion of prior knowledge to improve large-scale image analy- sis pipelines.Plos one, page e0187535, 2017.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Fuzzy-based propaga- tion of prior knowledge to improve large-scale image analy- sis pipelines.Plos one, page e0187535, 2017

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:02.008916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4866cbdf-6618-4935-9b6c-dcc0c551c52c · outbound

This paper cites Cellpose: a generalist algorithm for cellular segmentation.Nature methods, pages 100–106, 2021.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cellpose: a generalist algorithm for cellular segmentation.Nature methods, pages 100–106, 2021

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.997400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a1f9073a-48c0-49be-9916-a988b66f7f56 · outbound

This paper cites Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.608294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af90e4aa-6295-4bb8-b81e-2e49556d9fcb · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Raft: Recurrent all-pairs field transforms for optical flow

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.612130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f47e69d1-8c36-4ae0-87c5-7a9d7d8cea17 · outbound

This paper cites Automated cell tracking using 3d nnunet and light sheet microscopy to quantify regional deformation in zebrafish.bioRxiv, 2024.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Automated cell tracking using 3d nnunet and light sheet microscopy to quantify regional deformation in zebrafish.bioRxiv, 2024

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.972764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1bf902c4-06b5-474d-899a-8be811283e67 · outbound

This paper cites Network flow integer program- ming to track elliptical cells in time-lapse sequences.IEEE Transactions on Medical Imaging, pages 942–951, 2016.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Network flow integer program- ming to track elliptical cells in time-lapse sequences.IEEE Transactions on Medical Imaging, pages 942–951, 2016

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.961374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4eec071f-ed7a-4a4a-a8fa-d8b6f70ea702 · outbound

This paper cites Automated deep lineage tree analysis using a bayesian single cell tracking approach.Frontiers in Com- puter Science, 3:734559, 2021.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Automated deep lineage tree analysis using a bayesian single cell tracking approach.Frontiers in Com- puter Science, 3:734559, 2021

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.948710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b5e16caa-3756-47a4-a13e-e2c5e77b85b4 · outbound

This paper cites An objective comparison of cell-tracking algorithms.Nature methods, pages 1141–1152, 2017.

Cell as Point: One-Stage Framework for Efficient Cell Tracking An objective comparison of cell-tracking algorithms.Nature methods, pages 1141–1152, 2017

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.937612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 910cdb94-6344-4668-bebe-20b7dbb2666b · outbound

This paper cites Attention is all you need.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Attention is all you need

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.630506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e327f715-a898-4aba-8f54-373f73a6161d · outbound

This paper cites Tracking everything everywhere all at once.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Tracking everything everywhere all at once

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T14:53:01.634325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5903b2ff-f5bb-43e2-9768-30aad53496d7 · outbound

This paper cites Cris: Clip- driven referring image segmentation.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cris: Clip- driven referring image segmentation

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.912242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c6dc98c-6dd0-4f66-a414-bea386e0bcae · outbound

This paper cites Star-convex polyhedra for 3d object detec- tion and segmentation in microscopy.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Star-convex polyhedra for 3d object detec- tion and segmentation in microscopy

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.901418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe2aac7d-4285-44e0-b8ec-2e1416e39e6f · outbound

This paper cites Unsupervised learning of object-centric embeddings for cell instance segmentation in microscopy images.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Unsupervised learning of object-centric embeddings for cell instance segmentation in microscopy images

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.890895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation caaf8bd3-1313-4bfa-a366-f0e8608e7997 · outbound

This paper cites Accurate optical flow via direct cost volume processing.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Accurate optical flow via direct cost volume processing

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.879574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18e35e23-1eec-415f-be6a-383dfdb830ad · outbound

This paper cites Spatial- temporal relation networks for multi-object tracking.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Spatial- temporal relation networks for multi-object tracking

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.868333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a5317d42-72fb-42a3-b27a-73ee702f288e · outbound

This paper cites Cell segmentation, tracking, and mitosis detection using temporal context.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Cell segmentation, tracking, and mitosis detection using temporal context

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.856904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 259c6b7a-5414-479e-bd2d-55d36259dfc4 · outbound

This paper cites Deep learning in medical image super resolution: a review.Applied Intelligence, pages 20891–20916, 2023.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Deep learning in medical image super resolution: a review.Applied Intelligence, pages 20891–20916, 2023

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.845495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 152d1b2e-7f99-4725-925b-cc81bae23134 · outbound

This paper cites Prediction of sequen- tial organelles localization under imbalance using a balanced deep u-net.Scientific reports, page 2626, 2020.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Prediction of sequen- tial organelles localization under imbalance using a balanced deep u-net.Scientific reports, page 2626, 2020

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.834227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0803307-f676-47d4-b93e-d04e6c68aad7 · outbound

This paper cites Optical flow and scene flow estimation: A survey.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Optical flow and scene flow estimation: A survey

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.820768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1cfa1c21-253d-4843-aa5d-cb21b9927085 · outbound

This paper cites Unsupervised 3d end-to-end medical image registration with volume tweening network.IEEE Journal of Biomedical and Health Informatics, pages 1394–1404, 2020.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Unsupervised 3d end-to-end medical image registration with volume tweening network.IEEE Journal of Biomedical and Health Informatics, pages 1394–1404, 2020

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.808432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c381d63-c1f4-4216-99ba-8655c8a1ee2e · outbound

This paper cites Harley, Bokui Shen, Gordon Wet- zstein, and Leonidas J.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Harley, Bokui Shen, Gordon Wet- zstein, and Leonidas J

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.794966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c8a4d22d-e368-47da-b90b-95a9a4b1502b · outbound

This paper cites Joint multi-frame detection and segmentation for multi-cell tracking.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Joint multi-frame detection and segmentation for multi-cell tracking

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:53:01.780897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0eb53047-747e-4072-9b57-d6628591f023 · outbound

This paper cites an unresolved cited work.

Cell as Point: One-Stage Framework for Efficient Cell Tracking Unresolved cited work

Reference 446

Resolution: parse uncertain; raw_fallback, observed 2026-08-12T14:53:01.766743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0297a972-804a-4cb6-8680-5946085d4da1 · outbound

This paper cites 6, 9, 10.

Cell as Point: One-Stage Framework for Efficient Cell Tracking 6, 9, 10

Reference 626

Resolution: parse uncertain; no resolver link, observed 2026-08-12T14:53:01.353165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers