MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy | Paper Citation Record

Observation c2224d72-0a73-457b-9851-adf8b44f9f42 · outbound

This paper cites write newline.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy write newline

Reference 1

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Observation cdfc9ef2-08c1-4cd8-9a29-8892f4ec786a · outbound

This paper cites Endoscopy artifact detection (EAD 2019) challenge dataset.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Endoscopy artifact detection (EAD 2019) challenge dataset

Reference 2

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Observation b96bbd1b-e253-4a52-b0f8-3643513f9ee4 · outbound

This paper cites Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

Reference 3

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Observation 05417bc0-0e9b-43da-b06c-59386e1d3d5e · outbound

This paper cites 2017 Robotic Instrument Segmentation Challenge.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy 2017 Robotic Instrument Segmentation Challenge

Reference 4

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Observation 5c1adeb7-0c04-474e-97a1-a52c08491637 · outbound

This paper cites 2018 Robotic Scene Segmentation Challenge.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy 2018 Robotic Scene Segmentation Challenge

Reference 5

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Observation f1dd7139-95f2-4d67-a44a-3209edd9575f · outbound

This paper cites Deep convolutional neural networks to predict mutual coupling effects in metasurfaces.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Deep convolutional neural networks to predict mutual coupling effects in metasurfaces

Reference 6

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Observation c4f136db-66dc-4e49-9bc9-9cc9932f052f · outbound

This paper cites Medical image segmentation review: The success of u-net.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Medical image segmentation review: The success of u-net

Reference 7

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Observation 9990a119-1360-4197-8cef-8552100a7cd9 · outbound

This paper cites Towards automatic polyp detection with a polyp appearance model.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Towards automatic polyp detection with a polyp appearance model

Reference 8

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Observation f69bc316-cf1b-41be-8cca-204f6fd3efb1 · outbound

This paper cites Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs

Reference 9

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Observation d5950081-752e-4c02-bf1b-b954528298d7 · outbound

This paper cites Hyperkvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Hyperkvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:18.929780Z

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Observation 27f05f92-e94d-46a8-af98-9f1421711ee3 · outbound

This paper cites Principles of optics: electromagnetic theory of propagation, interference and diffraction of light.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Principles of optics: electromagnetic theory of propagation, interference and diffraction of light

Reference 11

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Observation 671fbf30-7895-4354-9a13-07ec9563d363 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 12

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Observation 39247392-0864-49d1-89f9-5f4b518c59cf · outbound

This paper cites Simple baselines for image restoration.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Simple baselines for image restoration

Reference 13

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Observation 2f4c5d54-0534-4d36-ad7a-3c3b24b6eee8 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:19.462895Z

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Observation f0ef1ff5-3cb0-4004-8f4f-03bfa18f09fb · outbound

This paper cites Artificial intelligence in meta-optics.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Artificial intelligence in meta-optics

Reference 15

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Observation e47a5975-3d11-4b78-8426-1136aecbcb9c · outbound

This paper cites A meta-device for intelligent depth perception.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy A meta-device for intelligent depth perception

Reference 16

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Observation 7fc2f8f0-784d-47a0-b595-7cdcff58db59 · outbound

This paper cites A broadband achromatic metalens for focusing and imaging in the visible.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy A broadband achromatic metalens for focusing and imaging in the visible

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:19.792787Z

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Observation bca3e43f-9bb3-4953-8faf-1b7ecf04487d · outbound

This paper cites Bidirectional multi-scale implicit neural representations for image deraining.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Bidirectional multi-scale implicit neural representations for image deraining

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:19.935154Z

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Observation a6ce3c3e-d4d6-4f5c-88be-1efa03e79c3c · outbound

This paper cites Medical federated learning with joint graph purification for noisy label learning.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Medical federated learning with joint graph purification for noisy label learning

Reference 19

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Observation cc8e6368-9254-417f-8d95-9db61677495d · outbound

This paper cites Schwing, Alexander Kirillov, and Rohit Girdhar.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Schwing, Alexander Kirillov, and Rohit Girdhar

Reference 20

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Observation aaedc21b-4199-4d16-8ca5-3f4255e2d2c9 · outbound

This paper cites In vivo intelligent fluorescence endo-microscopy by varifocal meta-device and deep learning.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy In vivo intelligent fluorescence endo-microscopy by varifocal meta-device and deep learning

Reference 21

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Observation f505a3c0-a447-4337-a477-f7faf7971351 · outbound

This paper cites 3d u-net: learning dense volumetric segmentation from sparse annotation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy 3d u-net: learning dense volumetric segmentation from sparse annotation

Reference 22

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Observation 93cd2c22-36e6-4e48-989c-3971b6000db2 · outbound

This paper cites Second-order attention network for single image super-resolution.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Second-order attention network for single image super-resolution

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:20.441348Z

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Observation 33f9b40e-c3a2-4e5f-bbff-940622e3b743 · outbound

This paper cites Achromatic single metalens imaging via deep neural network.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Achromatic single metalens imaging via deep neural network

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:20.543995Z

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Observation b9475526-4bdb-4565-91eb-e47b32f2cef6 · outbound

This paper cites Selective feature aggregation network with area-boundary constraints for polyp segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Selective feature aggregation network with area-boundary constraints for polyp segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:20.637690Z

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Observation 65a40eda-a3f4-4913-bd96-75841059e770 · outbound

This paper cites Mambair: A simple baseline for image restoration with state-space model.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Mambair: A simple baseline for image restoration with state-space model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:20.709740Z

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Observation 4f61fee0-c88c-427d-ab0f-cdefc5db99dc · outbound

This paper cites SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:20.787001Z

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Observation 5f6057fd-04ab-4345-b48f-45acf8b2a74d · outbound

This paper cites Single image haze removal using dark channel prior.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Single image haze removal using dark channel prior

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:20.852741Z

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Observation ea1d9188-6004-48ee-a3de-b7718dd88662 · outbound

This paper cites Learn2reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Learn2reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:20.909537Z

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Observation 515ed5d3-74b3-4600-b0ab-cae3181fef3e · outbound

This paper cites Denoising diffusion probabilistic models.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Denoising diffusion probabilistic models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:21.010589Z

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Observation 806d2e4c-98b1-4237-84b8-7d2c3b2ab194 · outbound

This paper cites High-resolution metalens imaging with sequential artificial intelligence models.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy High-resolution metalens imaging with sequential artificial intelligence models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:21.068842Z

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Observation 85ea8336-177e-4298-aa0f-c98e4beb3b85 · outbound

This paper cites Multi-view masked contrastive representation learning for endoscopic video analysis.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Multi-view masked contrastive representation learning for endoscopic video analysis

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:21.146353Z

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Observation f9691b42-8b1c-4a9e-acac-a89813ceecbc · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy nnu-net: a self-configuring method for deep learning-based biomedical image segmentation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:21.225393Z

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Observation 9ecb30c7-fb40-4aeb-9a18-57405f3796ad · outbound

This paper cites Kvasir-seg: A segmented polyp dataset.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Kvasir-seg: A segmented polyp dataset

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:44.409617Z

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

Observation 2ecfccbf-c6f6-4c07-b8cd-3452d8781f63 · outbound

This paper cites Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:44.258775Z

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

Observation 6d54a49b-893b-4816-8a4c-afed982c391e · outbound

This paper cites Free-form diffractive metagrating design based on generative adversarial networks.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Free-form diffractive metagrating design based on generative adversarial networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:44.002531Z

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

Observation de28edce-0bbc-465b-aa33-c281de6b859e · outbound

This paper cites When fast fourier transform meets transformer for image restoration.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy When fast fourier transform meets transformer for image restoration

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:43.828078Z

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 f3b85ddd-4ae2-4348-b31a-ac5d7e060aef · outbound

This paper cites Secure, privacy-preserving and federated machine learning in medical imaging.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Secure, privacy-preserving and federated machine learning in medical imaging

Reference 38

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Observation dc505fa3-6963-48ec-bc46-08310e6f4f60 · outbound

This paper cites Metalenses at visible wavelengths: Diffraction-limited focusing and subwavelength resolution imaging.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Metalenses at visible wavelengths: Diffraction-limited focusing and subwavelength resolution imaging

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:43.620165Z

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 776f4833-b0b6-4b9b-b42f-e3f52e1fa84a · outbound

This paper cites Accurate image super-resolution using very deep convolutional networks.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Accurate image super-resolution using very deep convolutional networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:43.396640Z

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

Observation b28ad5db-17ed-4924-9507-7dd7d0ba592a · outbound

This paper cites Auto-Encoding Variational Bayes.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Auto-Encoding Variational Bayes

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:22.096349Z

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Observation 8cc4dbec-43b1-4f45-b76f-c04c62e52628 · outbound

This paper cites Computer-aided detection of bleeding regions for capsule endoscopy images.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Computer-aided detection of bleeding regions for capsule endoscopy images

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:43.244539Z

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 4672c5da-f76e-4840-8b9d-e95d773f7418 · outbound

This paper cites Flaws can be applause: Unleashing potential of segmenting ambiguous objects in sam.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Flaws can be applause: Unleashing potential of segmenting ambiguous objects in sam

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:43.057865Z

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

Observation af73d97f-7730-43c0-9fd4-5fabd2259acc · outbound

This paper cites Endora: Video generation models as endoscopy simulators.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Endora: Video generation models as endoscopy simulators

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:42.913449Z

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 7efa1341-e32f-4627-831e-0018cf943687 · outbound

This paper cites U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:22.439616Z

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Observation 7c019c3a-40c1-4ebc-8857-8cb3c184a552 · outbound

This paper cites Dual-layer achromatic metalens design with an effective abbe number.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Dual-layer achromatic metalens design with an effective abbe number

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:42.759596Z

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 840f2a7d-aafc-443e-9378-a35e2ceb864b · outbound

This paper cites Revolutionary meta-imaging: from superlens to metalens.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Revolutionary meta-imaging: from superlens to metalens

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:42.564645Z

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 ed4dbd84-65e4-43b1-be1a-d8a63fbfae08 · outbound

This paper cites Joint polyp detection and segmentation with heterogeneous endoscopic data.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Joint polyp detection and segmentation with heterogeneous endoscopic data

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:42.380577Z

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 fed1213b-82c0-483e-a979-43b97fc5c92a · outbound

This paper cites Scan: Cross domain object detection with semantic conditioned adaptation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Scan: Cross domain object detection with semantic conditioned adaptation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:42.205710Z

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 a662b662-b54f-4097-8deb-9162882c3626 · outbound

This paper cites Sigma: Semantic-complete graph matching for domain adaptive object detection.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Sigma: Semantic-complete graph matching for domain adaptive object detection

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:41.961031Z

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 7099172c-f5ab-4e8a-95d7-275ecb01cd9f · outbound

This paper cites Novel scenes & classes: Towards adaptive open-set object detection.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Novel scenes & classes: Towards adaptive open-set object detection

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:41.672382Z

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 5029da2e-559a-4c36-9fce-32ef0fd259ec · outbound

This paper cites Sigma++: Improved semantic-complete graph matching for domain adaptive object detection.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Sigma++: Improved semantic-complete graph matching for domain adaptive object detection

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:41.450020Z

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 ae4367eb-35cf-48ba-a302-11119fc09a8c · outbound

This paper cites Cliff: Continual latent diffusion for open-vocabulary object detection.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Cliff: Continual latent diffusion for open-vocabulary object detection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:41.243834Z

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 6f162df6-bd1d-429d-8dfc-2fbd43c45e69 · outbound

This paper cites From static to dynamic diagnostics: Boosting medical image analysis via motion-informed generative videos.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy From static to dynamic diagnostics: Boosting medical image analysis via motion-informed generative videos

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:41.005111Z

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 b5aa5931-fd8a-4b3a-b488-054f74686891 · outbound

This paper cites VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:23.190818Z

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Observation ea7f6dc9-8e19-413b-8324-dcdd91821086 · outbound

This paper cites Swinir: Image restoration using swin transformer.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Swinir: Image restoration using swin transformer

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:40.735634Z

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 f2f4e685-103c-4c82-be51-76aa29b6a911 · outbound

This paper cites Achromatic metalens array for full-colour light-field imaging.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Achromatic metalens array for full-colour light-field imaging

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:40.417559Z

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 5932bd12-8cbb-4055-9967-7a0f21a8fed9 · outbound

This paper cites DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:23.512708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91c68588-ccc7-45a9-8581-f94ef71bb38e · outbound

This paper cites Rethinking boundary detection in deep learning-based medical image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Rethinking boundary detection in deep learning-based medical image segmentation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:40.194358Z

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 4a3702ac-0752-4f53-92a4-715676afff9e · outbound

This paper cites Lgs: A light-weight 4d gaussian splatting for efficient surgical scene reconstruction.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Lgs: A light-weight 4d gaussian splatting for efficient surgical scene reconstruction

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:39.924941Z

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 71521a29-f2ee-4d1f-8908-7faa9ee7de1b · outbound

This paper cites Polyp-gen: Realistic and diverse polyp image generation for endoscopic dataset expansion.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Polyp-gen: Realistic and diverse polyp image generation for endoscopic dataset expansion

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:23.868577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc36410c-b57e-4e29-a72e-7c2ab359014e · outbound

This paper cites A comprehensive evaluation of multi-modal large language models for endoscopy analysis.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy A comprehensive evaluation of multi-modal large language models for endoscopy analysis

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:23.969342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffb3b11b-d9ae-49b9-ba73-9efa54447a39 · outbound

This paper cites A rotation-invariant texture vit for fine-grained recognition of esophageal cancer endoscopic ultrasound images.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy A rotation-invariant texture vit for fine-grained recognition of esophageal cancer endoscopic ultrasound images

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:37.083196Z

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 21b2b3f8-726e-46bd-a9bb-932fb83730f9 · outbound

This paper cites Intervention & interaction federated abnormality detection with noisy clients.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Intervention & interaction federated abnormality detection with noisy clients

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:36.763917Z

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 28444657-2af1-45c8-b0c8-3d94b186ab0f · outbound

This paper cites Underwater binocular meta-lens.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Underwater binocular meta-lens

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:36.460981Z

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 8fe272e4-3e5d-4dcb-b60f-e860ce6c42f5 · outbound

This paper cites Decoupled unbiased teacher for source-free domain adaptive medical object detection.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Decoupled unbiased teacher for source-free domain adaptive medical object detection

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:36.206250Z

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 8536d51d-e17f-46da-b780-03a24df0aa97 · outbound

This paper cites Stereo vision meta-lens-assisted driving vision.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Stereo vision meta-lens-assisted driving vision

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:35.905196Z

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 899e699f-8ef0-4c08-98ea-1252c51e1198 · outbound

This paper cites Diffrect: Latent diffusion label rectification for semi-supervised medical image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Diffrect: Latent diffusion label rectification for semi-supervised medical image segmentation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:35.812070Z

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 7da81fb8-5b8d-4059-8509-b24c0d86d0f6 · outbound

This paper cites Meta-lens particle image velocimetry.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Meta-lens particle image velocimetry

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:35.665281Z

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 aa3d90de-dfde-429a-842c-e11162c88779 · outbound

This paper cites Rolling-unet: Revitalizing mlp’s ability to efficiently extract long-distance dependencies for medical image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Rolling-unet: Revitalizing mlp’s ability to efficiently extract long-distance dependencies for medical image segmentation

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:35.507215Z

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 fe683dab-e70b-49a9-bf78-e77bc64ec2b1 · outbound

This paper cites Dc-unet: rethinking the u-net architecture with dual channel efficient cnn for medical image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Dc-unet: rethinking the u-net architecture with dual channel efficient cnn for medical image segmentation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:35.332507Z

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 414dc717-f7a3-47ee-9701-f73ac25d03a3 · outbound

This paper cites Varifocal metalens for optical sectioning fluorescence microscopy.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Varifocal metalens for optical sectioning fluorescence microscopy

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:35.216575Z

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 51b15111-27d1-441b-842b-5c9202125e5b · outbound

This paper cites Llm-guided decoupled probabilistic prompt for continual learning in medical image diagnosis.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Llm-guided decoupled probabilistic prompt for continual learning in medical image diagnosis

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:35.103506Z

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 332fdb55-6001-4f13-9e60-69d42ee183d1 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:25.773518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4be9ac2-05c0-4116-985d-c6a8ae5e64f8 · outbound

This paper cites Shape-guided configuration-aware learning for endoscopic-image-based pose estimation of flexible robotic instruments.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Shape-guided configuration-aware learning for endoscopic-image-based pose estimation of flexible robotic instruments

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:34.925933Z

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 dd0c4da0-9d61-4715-8cad-6883a3e11e11 · outbound

This paper cites Real-time hyperspectral imaging in hardware via trained metasurface encoders.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Real-time hyperspectral imaging in hardware via trained metasurface encoders

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:34.796819Z

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 9f4008fc-2005-481c-a02f-794a40c05468 · outbound

This paper cites Hardware-accelerated integrated optoelectronic platform towards real-time high-resolution hyperspectral video understanding.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Hardware-accelerated integrated optoelectronic platform towards real-time high-resolution hyperspectral video understanding

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:34.579595Z

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 2fe645ba-52c1-4fc3-b6c0-ecd7083d32cc · outbound

This paper cites Mixture of experts: a literature survey.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Mixture of experts: a literature survey

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:34.433896Z

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 4c76e46b-e3fd-4454-b078-b7c59a6391ae · outbound

This paper cites Artificial intelligence and upper gastrointestinal endoscopy: Current status and future perspective.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Artificial intelligence and upper gastrointestinal endoscopy: Current status and future perspective

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:34.309651Z

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 0e569877-ecd4-4000-a5cc-87c7349b7119 · outbound

This paper cites Artificial intelligence in endoscopy.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Artificial intelligence in endoscopy

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:34.079575Z

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 cdff82b2-5be3-48f5-9d01-42218aae8d51 · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Attention U-Net: Learning Where to Look for the Pancreas

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:26.523912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27c04296-e4f9-4655-86dc-e6b7649dc441 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy DINOv2: Learning Robust Visual Features without Supervision

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:26.645408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d91412c-d3f2-4dea-90b2-668e911859b8 · outbound

This paper cites Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-08-06T04:24:29.431287Z

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 cbd2962a-8d43-4efc-9f3e-589b36f9d7a6 · outbound

This paper cites Human-machine interactive tissue prototype learning for label-efficient histopathology image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Human-machine interactive tissue prototype learning for label-efficient histopathology image segmentation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:33.944870Z

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 c796a7d1-4a71-46a5-a6ba-54841e355894 · outbound

This paper cites Leveraging near-field lighting for monocular depth estimation from endoscopy videos.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Leveraging near-field lighting for monocular depth estimation from endoscopy videos

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:33.776386Z

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 057ce20e-e0b4-4522-80df-ef4fe08aba4c · outbound

This paper cites Fresnel diffraction and the fractional-order fourier transform.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Fresnel diffraction and the fractional-order fourier transform

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:33.598516Z

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 20ec6182-a7f8-44ad-8da3-84370a95478b · outbound

This paper cites High-efficiency, large-area, topology-optimized metasurfaces.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy High-efficiency, large-area, topology-optimized metasurfaces

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:33.473070Z

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 7f3415ba-be1e-4c59-88cc-7a1f9bd5a331 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy U-net: Convolutional networks for biomedical image segmentation

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:33.331410Z

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 480f6523-7dcf-49fb-a3c2-38e5182d7f08 · outbound

This paper cites Deep-learning-driven end-to-end metalens imaging.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Deep-learning-driven end-to-end metalens imaging

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-08-06T04:24:29.194078Z

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 60487b49-f121-4be5-910f-a085c6ab0095 · outbound

This paper cites Procedure-aware surgical video-language pretraining with hierarchical knowledge augmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Procedure-aware surgical video-language pretraining with hierarchical knowledge augmentation

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:33.121525Z

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 b4b2fe6a-accd-4b7a-863c-eae1ade0c5fa · outbound

This paper cites Neural nano-optics for high-quality thin lens imaging.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Neural nano-optics for high-quality thin lens imaging

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:32.925104Z

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 c4f2b6a6-689f-4c2b-8746-a35c8de4c531 · outbound

This paper cites Metalenses: advances and applications.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Metalenses: advances and applications

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:32.796279Z

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 79ae0a2f-7fac-44a0-a570-58aaa1bf1061 · outbound

This paper cites Ai for optical metasurface.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Ai for optical metasurface

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:32.645201Z

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 fa77b905-aca2-4f60-8238-e4b784502b2e · outbound

This paper cites Unext: Mlp-based rapid medical image segmentation network.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Unext: Mlp-based rapid medical image segmentation network

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:32.454836Z

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 ca1c32cf-bf2a-4c9f-9b60-aad17e88b06f · outbound

This paper cites Dense u-net based on patch-based learning for retinal vessel segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Dense u-net based on patch-based learning for retinal vessel segmentation

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:32.303861Z

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 5e577b65-931c-45d9-aa23-2329c040610f · outbound

This paper cites A broadband achromatic metalens in the visible.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy A broadband achromatic metalens in the visible

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:32.145489Z

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 35c9cf35-c165-4b65-98eb-4451937f1a6b · outbound

This paper cites Robust freeform metasurface design based on progressively growing generative networks.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Robust freeform metasurface design based on progressively growing generative networks

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:31.919299Z

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 bf8ab717-4015-494f-947c-8c314b33e629 · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-06T04:24:28.200681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 421c6d12-023a-45b9-a580-e208b3988215 · outbound

This paper cites Self-supervised video desmoking for laparoscopic surgery.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Self-supervised video desmoking for laparoscopic surgery

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:31.758681Z

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 7a130eaf-7f2f-4bac-b17b-ace99d81831a · outbound

This paper cites Unified perceptual parsing for scene understanding.

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy Unified perceptual parsing for scene understanding

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:24:31.581835Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers