Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study | Paper Citation Record

Observation 63e18bb0-9640-4627-9ce1-7239f365fb0d · outbound

This paper cites IEEE reviews in biomedical engineering 2, 147–171 (2009) https: //doi.org/10.1109/RBME.2009.2034865.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study IEEE reviews in biomedical engineering 2, 147–171 (2009) https: //doi.org/10.1109/RBME.2009.2034865

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T04:30:27.417780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c187bd9-6524-4574-bb96-004b57b34b00 · outbound

This paper cites Medical Image Analysis 54, 280–296 (2019).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Medical Image Analysis 54, 280–296 (2019)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.993289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 31c86485-aa6b-4ed8-b7a5-5293e89c2649 · outbound

This paper cites Medical Image Analysis 67, 101813 (2021).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Medical Image Analysis 67, 101813 (2021)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.977572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0f23dd41-8e68-45bf-9853-880563615ffa · outbound

This paper cites In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.961013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e92d4ed-7008-420c-84c5-2ac94b49fc8c · outbound

This paper cites Scientific Reports 9(1), 3358 (2019).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Scientific Reports 9(1), 3358 (2019)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.945941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation efe004c6-d55e-4172-902a-aff6cfc19f0f · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:30:27.444420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb13a79c-fec1-45a9-bf62-04142ce79e1b · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.919296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23667035-9993-44b4-a093-7ec474e19ab3 · outbound

This paper cites In: International Conference on Machine Learning, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: International Conference on Machine Learning, pp

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.903612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a66cb920-7ea4-48a3-b6c6-a3334219af29 · outbound

This paper cites In: Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA), pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA), pp

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.885445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c1545d80-b599-4529-9862-09fad6e09acc · outbound

This paper cites Physics in Medicine & Biology (2022).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Physics in Medicine & Biology (2022)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.867110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 302c09cf-3f37-44f4-9132-97695caf88ba · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2021).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: International Conference on Learning Representations (ICLR) (2021)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.851413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1fd5e3ed-0c46-4724-98a8-78df6443352d · outbound

This paper cites Nature Medicine 25(8), 1301–1309 (2019) https://doi.org/10.1038/s41591-019-0508-1.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Nature Medicine 25(8), 1301–1309 (2019) https://doi.org/10.1038/s41591-019-0508-1

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T04:30:27.474506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36709b5c-37c1-4203-88b4-a8889c4931a7 · outbound

This paper cites In: Proceedings of the 35th International Conference on Machine Learning, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the 35th International Conference on Machine Learning, pp

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.835849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bbf04bdb-d025-493c-8654-52760aeb031e · outbound

This paper cites In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-L´ opez, C., Fichtinger, G.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-L´ opez, C., Fichtinger, G

Reference 14

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T04:30:28.819962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33cf3a42-519c-4c8a-bc36-1765749a5877 · outbound

This paper cites Nature biomedical engineering 5(6), 555–570 (2021).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Nature biomedical engineering 5(6), 555–570 (2021)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.803907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2a152f3-d432-420e-b798-fc413c40ace2 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:30:27.493908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b464b3-18ba-48d2-b254-4db3e0be9ca9 · outbound

This paper cites Advances in neural information processing systems 34, 2136–2147 (2021).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Advances in neural information processing systems 34, 2136–2147 (2021)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.777396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 761f1ffc-9496-4651-baa0-22dae9f0f0a9 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.761442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5aa3f8f8-4d19-49e7-8bbe-36e3d0068a04 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.744592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d678d105-c326-4b49-9020-b844cd6d5bfe · outbound

This paper cites In: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.729159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2ee85181-0e6e-47ed-9c26-30fe20704705 · outbound

This paper cites an unresolved cited work.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:30:28.713155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 42017847-b3d7-46b6-ab03-236811a3e9a2 · outbound

This paper cites Pattern Recognition 77, 329–353 (2018) https://doi.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Pattern Recognition 77, 329–353 (2018) https://doi

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:30:27.523825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76abdf0d-b4f6-41e5-8e4b-5248b4ba7ac7 · outbound

This paper cites Computer Vision and Image Understanding 214, 20 103299 (2022).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Computer Vision and Image Understanding 214, 20 103299 (2022)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.698238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 64b9ff19-58cd-441b-9943-af87bd069b64 · outbound

This paper cites IEEE/ACM Transactions on Audio, Speech, and Language Processing 26(11), 2180–2193 (2018).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study IEEE/ACM Transactions on Audio, Speech, and Language Processing 26(11), 2180–2193 (2018)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.682597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 62f10895-3ca2-4991-8d4f-12aa0851f8b4 · outbound

This paper cites In: Bruijne, M., Cattin, P.C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y., Essert, C.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Bruijne, M., Cattin, P.C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y., Essert, C

Reference 25

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T04:30:28.665247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cabdd7b5-34c5-4307-b5c0-7c4116238a53 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.649795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9a88b246-dc4d-4265-b226-14071d05adae · outbound

This paper cites In: Medical Imaging with Deep Learning (2021).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Medical Imaging with Deep Learning (2021)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.634583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7295d102-7695-4cfb-92e8-6ecb57046e26 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.618934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a505a3b4-1d49-47da-b9f6-b8efb50e2634 · outbound

This paper cites In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.603026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b77d2073-9008-44ef-935a-825bfae76ad8 · outbound

This paper cites In: Advances in Neural Information Processing Systems, vol.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Advances in Neural Information Processing Systems, vol

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.585691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e1164b02-0741-4dfc-bc0a-6a1290876946 · outbound

This paper cites In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.569958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0ece2a76-94e6-47c7-af3e-cc7b1393353a · outbound

This paper cites Scientific Reports 10(1), 9297 (2020).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Scientific Reports 10(1), 9297 (2020)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.554562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f04b246f-9459-4cb5-b311-b5a38c875274 · outbound

This paper cites Pattern Recognition 74, 15–24 (2018).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Pattern Recognition 74, 15–24 (2018)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.538390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4722bfff-0caa-4048-87ae-4cae897c4d32 · outbound

This paper cites Advances in neural information processing systems33, 21271–21284 (2020).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Advances in neural information processing systems33, 21271–21284 (2020)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.521993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b70e6cc8-6f7a-4ed7-8b1e-bc471b263ba3 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T04:30:27.587191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e575985d-e6c2-4b39-b551-594174b10505 · outbound

This paper cites In: International Conference on Machine Learning (ICML), pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: International Conference on Machine Learning (ICML), pp

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.494306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1617a7f2-2303-45f4-a155-9286c7e312f1 · outbound

This paper cites In: ML4H NeurIPS Workshop (2020) 21.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: ML4H NeurIPS Workshop (2020) 21

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.478501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8ac3a12c-a6c8-4e25-b4ab-e9fd01822a25 · outbound

This paper cites In: Proceedings of the MICCAI Workshop on Computational Pathology, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the MICCAI Workshop on Computational Pathology, pp

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.462223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation de830043-d8fc-4b84-80d5-a6700bc38bc3 · outbound

This paper cites In: Learning Meaningful Representations of Life, NeurIPS (2021).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Learning Meaningful Representations of Life, NeurIPS (2021)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.446118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7c100c80-fe84-431d-b362-b37d924edb5e · outbound

This paper cites In: Bruijne, M., Cattin, P.C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y., Essert, C.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Bruijne, M., Cattin, P.C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y., Essert, C

Reference 40

Resolution: verified exact; doi, observed 2026-08-16T04:30:27.806755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0263c8d2-7e5a-4d01-9085-1b3c0147ac95 · outbound

This paper cites In: ICCV (2021).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: ICCV (2021)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.430261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a6d05b1f-81a9-4966-8c8e-359f6a5b42b5 · outbound

This paper cites In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.412721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f9c85599-bdb0-4821-baa2-a1ee1c45852a · outbound

This paper cites In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.398236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 209c5026-f23e-405f-81aa-5297ca6f027e · outbound

This paper cites Medical Image Analysis 81, 102559 (2022).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Medical Image Analysis 81, 102559 (2022)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.383382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20d4429d-1c9c-4819-ba95-bc2e4a3601e1 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.367915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f3923a78-e4fc-4d90-ac8d-560d8020d24d · outbound

This paper cites In: IEEE/CVF International Conference on Computer Vision (ICCV), pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: IEEE/CVF International Conference on Computer Vision (ICCV), pp

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.352615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d691c32f-700a-458d-8195-117db43333ae · outbound

This paper cites In: Advances in Neural Information Processing Systems (2019).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Advances in Neural Information Processing Systems (2019)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.337328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c00a1926-0d1c-4618-aaaf-dc4ceaf557f5 · outbound

This paper cites In: Proceedings of the MICCAI Workshop on Computational Pathology, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the MICCAI Workshop on Computational Pathology, pp

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.322496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d91543ca-7e02-484b-97ec-8283a0cd4ab6 · outbound

This paper cites In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.307380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 082be5cb-89bb-4f0d-82b6-e7b9815be38b · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.292140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 87a76768-acac-4537-8476-aa76a56982e7 · outbound

This paper cites In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.277272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 45c57b66-ef75-482f-b803-017c0864d948 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.262502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d7e39f5d-c758-4135-8180-6e0193ba052a · outbound

This paper cites In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), pp

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.247003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23fa0222-ff7c-4ff7-8d1b-cbbc43b32261 · outbound

This paper cites Advances in Neural Information Processing Systems 35, 20689–20702 (2022).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Advances in Neural Information Processing Systems 35, 20689–20702 (2022)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.232169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7213ebb2-4ddc-45f7-bcca-83d31f2845ae · outbound

This paper cites In: Proceedings of the MICCAI Workshop on Computational Pathology, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the MICCAI Workshop on Computational Pathology, pp

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.216198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 680afc33-6dee-44aa-bcda-fed74ca2c50f · outbound

This paper cites In: Calders, T., Esposito, F., H¨ ullermeier, E., Meo, R.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Calders, T., Esposito, F., H¨ ullermeier, E., Meo, R

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T04:30:27.689777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5760fe02-29e7-41d8-a5e8-70c87dc7e4f2 · outbound

This paper cites In: Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, pp

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.199893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 350006ea-59c6-480d-ba49-b980f6fe5cde · outbound

This paper cites Database: The Journal of Biological Databases and Curation 2022, 093 (2022).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Database: The Journal of Biological Databases and Curation 2022, 093 (2022)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.183522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ea008a95-6d4f-4ea6-b4c9-13d30684684f · outbound

This paper cites Medical image analysis 65, 101789 (2020).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Medical image analysis 65, 101789 (2020)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.165204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f8209bb0-dfa3-4b01-a611-9927ba9dd3c2 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.147414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ef3dc07-fd32-4964-858c-2e4a99d127e8 · outbound

This paper cites In: Advances in Neural Information Processing Systems, vol.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Advances in Neural Information Processing Systems, vol

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.131755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c357fdf7-9b82-4206-bc94-33c63fb3832f · outbound

This paper cites Transactions on Machine Learning Research (2023).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Transactions on Machine Learning Research (2023)

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.116328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6311629b-85ff-42fc-a21c-1c7a0ea3b1e3 · outbound

This paper cites International Conference on Learning Representations (ICLR) (2022).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study International Conference on Learning Representations (ICLR) (2022)

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.100872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation effdf95a-cfb4-42c4-a874-b9535183c209 · outbound

This paper cites Nature Medicine (2024).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Nature Medicine (2024)

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.084868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a14a303e-8421-4d87-b810-3ef1febd9618 · outbound

This paper cites JAMA 318(22), 2199–2210 (2017) https://doi.org/10.1001/jama.2017.14585.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study JAMA 318(22), 2199–2210 (2017) https://doi.org/10.1001/jama.2017.14585

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T04:30:27.738474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2330612d-ece7-4ec2-94e4-b736cbb7949d · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T04:30:27.743298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8712afd6-f203-483b-b9c0-ef187efe3314 · outbound

This paper cites Journal of Machine Learning Research 23(56), 1–6 (2022).

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Journal of Machine Learning Research 23(56), 1–6 (2022)

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T04:30:27.748151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adf64ead-0959-45ac-87c2-b0e6de4353c1 · outbound

This paper cites : Cross-scale multi-instance learning for pathological image diagnosis.

Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study : Cross-scale multi-instance learning for pathological image diagnosis

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:30:28.048308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers