Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma | Paper Citation Record

Observation cc09a99b-85a7-4a50-b61b-3abf16a36ac8 · outbound

This paper cites Tensorflow: A system for large-scale machine learning.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Tensorflow: A system for large-scale machine learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.710051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f5cc4628-9ffd-4e5c-a2f9-3ee7aa5cfb50 · outbound

This paper cites Y., Diniz-Filho, A., Costa, V.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Y., Diniz-Filho, A., Costa, V

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.699520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e389df73-8471-44a2-a2f0-eaed1f87aa56 · outbound

This paper cites High-dimensional bayesian geostatistics.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma High-dimensional bayesian geostatistics

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.688410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d5ecc96-09e2-4a47-8e1c-cf6fbef7776a · outbound

This paper cites E., Thompson, P.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma E., Thompson, P

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.677897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c8db1112-c089-4f4f-a84f-9dcd3db8fbe0 · outbound

This paper cites I., Mukherjee, S., Medeiros, F.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma I., Mukherjee, S., Medeiros, F

Reference 5

Resolution: verified exact; doi, observed 2026-08-14T11:24:38.861286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 53876c64-8b9a-4b13-820b-0cb755c4a4b3 · outbound

This paper cites I., Mwanza, J.-C., Warren, J.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma I., Mwanza, J.-C., Warren, J

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.666385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6514b921-eb2c-4787-b97c-0637cc58b534 · outbound

This paper cites I., Mwanza, J.-C., Warren, J.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma I., Mwanza, J.-C., Warren, J

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.655548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ce7cd587-f96c-477f-81b4-2aeafb7d450e · outbound

This paper cites D., Morgan, W.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma D., Morgan, W

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.645168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c9f23942-aab4-49c6-b1cd-2183fa107deb · outbound

This paper cites Bayesian spatiotemporal modeling using hierarchical spatial priors, with applications to functional magnetic resonance imaging (with discussion).

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Bayesian spatiotemporal modeling using hierarchical spatial priors, with applications to functional magnetic resonance imaging (with discussion)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.633736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 29edb59c-4993-4f07-bb66-8d3e9d315265 · outbound

This paper cites M., Kucukelbir, A., McAuliffe, J.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma M., Kucukelbir, A., McAuliffe, J

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.623100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e3c6725b-0881-478c-89d5-8c4a353c3ff1 · outbound

This paper cites R., Holan, S.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma R., Holan, S

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.612778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62498a98-c729-4228-88e5-aa3cf79fddfd · outbound

This paper cites R., Eilers, P.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma R., Eilers, P

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.600703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d402b354-68b6-4351-9b5a-0024f23a876a · outbound

This paper cites P., Gelfand, A.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma P., Gelfand, A

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.589415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 602e248c-e97c-4eb0-9710-f7e160b8c91c · outbound

This paper cites Infogan: Interpretable representation learning by information maximizing generative adversarial nets.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Infogan: Interpretable representation learning by information maximizing generative adversarial nets

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.579274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b9af8859-bc68-4e37-8e2e-c0670dce5506 · outbound

This paper cites an unresolved cited work.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-14T11:24:39.567705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 84309546-4952-4b95-b375-a609d54d797e · outbound

This paper cites C., Bengio, Y., 2015.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma C., Bengio, Y., 2015

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.556731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3812b29d-5559-4265-8f2e-838f6adb5068 · outbound

This paper cites Fixed rank kriging for very large spatial data sets.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Fixed rank kriging for very large spatial data sets

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.545025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f1acf82b-3870-4b04-a089-841725784749 · outbound

This paper cites O., Gelfand, A.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma O., Gelfand, A

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.533530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1bacf4cb-9c3d-4a69-a36d-58349b5f5721 · outbound

This paper cites P., Laird, N.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma P., Laird, N

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.522881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b038e30c-ae16-4911-b6ce-24bfe75e86ac · outbound

This paper cites Tutorial on Variational Autoencoders.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Tutorial on Variational Autoencoders

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T11:24:38.614856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f4cffa6-8bcd-4536-8308-9536bf50a992 · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Adaptive subgradient methods for online learning and stochastic optimization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.510859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 81087aed-5ace-4458-aeaf-8b43bad7229d · outbound

This paper cites W., Hitchings, R.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma W., Hitchings, R

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.499549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 09cb0880-4dba-4b21-bfbc-77b05d587af6 · outbound

This paper cites Approximate likelihood for large irregularly spaced spatial data.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Approximate likelihood for large irregularly spaced spatial data

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.488055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ad1c2a77-56aa-45ea-a775-c3a618e9615b · outbound

This paper cites Generative adversarial nets.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Generative adversarial nets

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.476409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bf8de171-e2bb-44c6-b78a-40a45d0374ba · outbound

This paper cites M., Shapiro, L.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma M., Shapiro, L

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.464510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d5f8a944-0321-45a9-b1e7-41e25f3504f3 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Adam: A Method for Stochastic Optimization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T11:24:38.638402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b540df-5840-4c37-b591-fac7f160a121 · outbound

This paper cites Auto-Encoding Variational Bayes.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Auto-Encoding Variational Bayes

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T11:24:38.642464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e87d7a40-b4cc-49e7-b123-29c4fb58b8f8 · outbound

This paper cites E., 2012.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma E., 2012

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.452809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b09684a1-671a-492a-85d3-2a8cafc5f29e · outbound

This paper cites A., 1951.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma A., 1951

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.440812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 14c0e614-4fc8-4ea0-8896-54d0409b1e8b · outbound

This paper cites M., Qi, J., 2000.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma M., Qi, J., 2000

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.428573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bf3e6c26-8225-4e6d-ae3a-320b56b1f63b · outbound

This paper cites Deep learning.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Deep learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.416004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 20217aee-d2cf-448e-b823-b954643e5dd7 · outbound

This paper cites Y., 2009.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Y., 2009

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.404302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 80ab3d2c-8eb8-42c3-ba81-25230ddb9f90 · outbound

This paper cites G., Lei, X., Breslow, N., 2000.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma G., Lei, X., Breslow, N., 2000

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.392870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0a8f13b8-b0d3-454f-aa37-99b0fe944894 · outbound

This paper cites Z., Maresh, E.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Z., Maresh, E

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.382060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee417406-d93e-4ecd-b83b-de87ee0da020 · outbound

This paper cites S., Hobbs, B.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma S., Hobbs, B

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.371477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2dfe3274-c1b1-4d92-be74-98bfc1631240 · outbound

This paper cites G., Wang, Y., Zhu, H., Initiative, A.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma G., Wang, Y., Zhu, H., Initiative, A

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.360411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7a65b9c2-630b-43d1-856b-dcf10a93cac7 · outbound

This paper cites L., Alfaro-Almagro, F., Bangerter, N.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma L., Alfaro-Almagro, F., Bangerter, N

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.348749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 548963f0-ce9d-46a9-81a8-4cd32fc1e232 · outbound

This paper cites S., Kong, L., Zhu, H., Initiative, A.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma S., Kong, L., Zhu, H., Initiative, A

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.337883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a3414218-5b6d-41f1-a072-a31218799103 · outbound

This paper cites E., Ormerod, J.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma E., Ormerod, J

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.325769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e8f90a3a-2c56-4a13-a58f-b39794ada03e · outbound

This paper cites D., Trujillo-Barreto, N.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma D., Trujillo-Barreto, N

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.314996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a698715f-7c69-467a-a87d-0928ed02ea66 · outbound

This paper cites G., Sokolov, V., et al., 2017.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma G., Sokolov, V., et al., 2017

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.302782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f04294a8-a716-42ab-a8e1-06d88b539c91 · outbound

This paper cites Identification and correction of spurious spatial correlations in microarray data.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Identification and correction of spurious spatial correlations in microarray data

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.291163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 479d88b1-9f9c-40b3-9a80-5d80cc00d6bc · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-14T11:24:38.702967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35be87b7-e7ad-4a92-9c00-4a1df44c69b0 · outbound

This paper cites Stochastic Backpropagation and Approximate Inference in Deep Generative Models.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-14T11:24:38.707481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba715505-ec27-4996-8980-0bdde8e3ebc6 · outbound

This paper cites Distribution Matching in Variational Inference.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Distribution Matching in Variational Inference

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-14T11:24:38.711723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec89a8f4-6bdd-46f2-a9b3-16404c43ad44 · outbound

This paper cites RStudio: Integrated Development Environment for R.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma RStudio: Integrated Development Environment for R

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.279642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c3c01676-3161-4ce8-953a-3efddadd6ee1 · outbound

This paper cites E., Hinton, G.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma E., Hinton, G

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.268189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 564148c6-544e-4de1-a57f-b11505e133f7 · outbound

This paper cites A spatio-temporal model for estimating the long-term effects of air pollution on respiratory hospital admissions in greater london.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma A spatio-temporal model for estimating the long-term effects of air pollution on respiratory hospital admissions in greater london

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.257670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 95fc8325-58b0-4872-80cd-9c0995cadcb2 · outbound

This paper cites Learning deep generative models.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Learning deep generative models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.246930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c9266da3-615a-4586-aeac-eb9e19284d98 · outbound

This paper cites A., Boden, C., Zhang, Z., Pascual, J., Lee, T.-W., Zangwill, L.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma A., Boden, C., Zhang, Z., Pascual, J., Lee, T.-W., Zangwill, L

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.235881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 180ca10e-8b21-4163-92a5-c6267384b22b · outbound

This paper cites A., 2012.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma A., 2012

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.225458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 68e33d3b-dbb8-4a39-b838-658b47909610 · outbound

This paper cites S., 1994.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma S., 1994

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.214963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a4d47b25-0151-4a83-9dd0-c5a320de11c8 · outbound

This paper cites Tapered covariance: Bayesian estimation and asymptotics.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Tapered covariance: Bayesian estimation and asymptotics

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.204751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 63483c35-42d0-4906-8f94-e226f5488a40 · outbound

This paper cites M., Nichols, T.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma M., Nichols, T

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.192783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7cf08dee-de05-4310-8665-808ccaa958a2 · outbound

This paper cites L., 2012.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma L., 2012

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.181686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 123ffea5-21eb-43dc-ab3a-9ec9cac89dfa · outbound

This paper cites Y., Quigley, H.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Y., Quigley, H

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.170465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 51effcf4-a6fb-4995-b1f2-4fcc5e322b67 · outbound

This paper cites E., Keeney, S., 2012.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma E., Keeney, S., 2012

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.159137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 17e889ad-bd0b-49c0-8609-f5c500e8ce22 · outbound

This paper cites C., Smith, S.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma C., Smith, S

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.148248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 45c1474f-5c4c-43d0-b3b6-23bc178c67f0 · outbound

This paper cites V., 1988.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma V., 1988

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.137857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 736c558a-dcea-47ac-97c5-b05e32c5aa83 · outbound

This paper cites A bayesian approach for estimating dynamic functional network connectivity in fmri data.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma A bayesian approach for estimating dynamic functional network connectivity in fmri data

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.126983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 07c34e2a-c8aa-4bec-9ca6-fe579a5e9e3b · outbound

This paper cites N., Aung, T., Medeiros, F.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma N., Aung, T., Medeiros, F

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.116041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1ea795b8-f563-4786-bad2-f447141ec6ba · outbound

This paper cites N., Leung, C.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma N., Leung, C

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.105017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ebe726e6-aecd-44d0-a80b-91f1750b8408 · outbound

This paper cites C., Lee, C.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma C., Lee, C

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.093169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5af44ebd-1ee0-45af-96e4-869d67cb78f3 · outbound

This paper cites K., Cressie, N., 1999.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma K., Cressie, N., 1999

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.081994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 10bc24a2-5dc9-46d9-8940-5be2bf38a3df · outbound

This paper cites W., Jenkinson, M., Brady, J.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma W., Jenkinson, M., Brady, J

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.070719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e85e5b8b-1283-428c-b458-1c7bb6e96d9c · outbound

This paper cites Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.057598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e82c0203-50da-412b-a687-8f559e2fb29e · outbound

This paper cites J., Daga, F.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma J., Daga, F

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.043147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6db29974-85c0-4f91-8d18-514dc164836d · outbound

This paper cites Generative Adversarial Network in Medical Imaging: A Review.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Generative Adversarial Network in Medical Imaging: A Review

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-14T11:24:38.802007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8a1258e-ddfc-468f-8c4b-01259550da55 · outbound

This paper cites Detection of longitudinal visual field progression in glaucoma using machine learning.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Detection of longitudinal visual field progression in glaucoma using machine learning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.029715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 28f52882-a552-483f-b7ec-e2f66d26ac73 · outbound

This paper cites A., Majewski, T., Czerniak, B.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma A., Majewski, T., Czerniak, B

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.016010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e9a82267-9152-40df-a9b1-aa73378faf13 · outbound

This paper cites M., Vannucci, M., et al., 2016 b.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma M., Vannucci, M., et al., 2016 b

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:39.003453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9829fd4d-cc65-4711-b886-84ad0d4a2da2 · outbound

This paper cites InfoVAE: Information Maximizing Variational Autoencoders.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma InfoVAE: Information Maximizing Variational Autoencoders

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-14T11:24:38.817815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4f02798-b422-468a-a74d-057fe8e3a262 · outbound

This paper cites Towards Deeper Understanding of Variational Autoencoding Models.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Towards Deeper Understanding of Variational Autoencoding Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-14T11:24:38.821765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e060356a-265d-45a6-8ebe-0cc53692d3ab · outbound

This paper cites A., Saunders, L.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma A., Saunders, L

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:24:38.990593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers