HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation | Paper Citation Record

Observation f24dba22-5d17-42c3-a379-8e0bacaac569 · outbound

This paper cites Deep learning tech- niques for medical image segmentation: achievements and challenges,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Deep learning tech- niques for medical image segmentation: achievements and challenges,

Reference 1

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Observation 1b34e72c-ca77-479a-865c-28fca436283d · outbound

This paper cites A review of deep-learning-based medical image segmentation methods,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation A review of deep-learning-based medical image segmentation methods,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.957453Z

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Observation e2a3595b-b48d-4eea-ae60-88c24f2f319d · outbound

This paper cites Medical image segmentation using deep learning: A survey,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Medical image segmentation using deep learning: A survey,

Reference 3

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Observation ec386e2f-5f41-4f37-980e-daa343a2e80d · outbound

This paper cites Attention is all you need,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Attention is all you need,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.924083Z

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This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation An image is worth 16x16 words: Trans- formers for image recognition at scale,

Reference 5

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Observation 9bea73c4-7ee3-4bb5-93ee-0efcca34d6fc · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.881472Z

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Observation d5212363-aea6-451f-aa51-a5e2d8eafd36 · outbound

This paper cites Transformers in medical image segmentation: A review,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Transformers in medical image segmentation: A review,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.859626Z

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Observation 9663e41c-bf3e-49be-b697-72abbbbba100 · outbound

This paper cites UNETR: Transformers for 3D medical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation UNETR: Transformers for 3D medical image segmentation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.830420Z

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Observation 423db5c3-2019-48d8-8c21-dde382ebfc3d · outbound

This paper cites Swin-Unet: Unet-like pure transformer for medical image segmenta- tion,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Swin-Unet: Unet-like pure transformer for medical image segmenta- tion,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.808309Z

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This paper cites nn- Former: V olumetric medical image segmentation via a 3D transformer,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation nn- Former: V olumetric medical image segmentation via a 3D transformer,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.783480Z

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This paper cites UTNet: a hybrid transformer architecture for medical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation UTNet: a hybrid transformer architecture for medical image segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.755785Z

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Observation 4d6aa52c-cecb-4278-8870-50b84bc9cf3c · outbound

This paper cites CoTr: Efficiently bridging CNN and transformer for 3D medical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation CoTr: Efficiently bridging CNN and transformer for 3D medical image segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.725246Z

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Observation a09d139f-a3b8-499b-a76c-b87920202194 · outbound

This paper cites TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.695447Z

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This paper cites FNOSeg3D: Resolution-robust 3D image segmentation with Fourier neural operator,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation FNOSeg3D: Resolution-robust 3D image segmentation with Fourier neural operator,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.657525Z

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Observation c00ddb7e-1eeb-4749-85a8-dd2e1349f103 · outbound

This paper cites Fourier neural operator for parametric partial differential equations,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Fourier neural operator for parametric partial differential equations,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.633275Z

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Observation 1f8ac485-e205-454d-a7e1-6b8cf74a904b · outbound

This paper cites Self- normalizing neural networks,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Self- normalizing neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.607619Z

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Observation e5044f40-5700-4bf9-b095-ca56e4661d21 · outbound

This paper cites The multimodal brain tumor image segmentation benchmark (BRATS),.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation The multimodal brain tumor image segmentation benchmark (BRATS),

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.583749Z

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Observation fd10cd94-d44e-4f98-9f61-6730477aa801 · outbound

This paper cites Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.562643Z

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Observation 9d41393c-724a-4b73-9729-aee5f53b984b · outbound

This paper cites The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Reference 19

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This paper cites The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT

Reference 20

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This paper cites DeepMitral: Fully automatic 3D echocardiography segmentation for patient specific mitral valve modelling,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation DeepMitral: Fully automatic 3D echocardiography segmentation for patient specific mitral valve modelling,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.543652Z

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Observation bfefd4fd-6e58-48d5-8238-b79fcfb971b0 · outbound

This paper cites U-Net: Convolutional net- works for biomedical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation U-Net: Convolutional net- works for biomedical image segmentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.522669Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 42804764-3357-416a-929c-a0da459cf026 · outbound

This paper cites V-Net: Fully convolutional neural networks for volumetric medical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation V-Net: Fully convolutional neural networks for volumetric medical image segmentation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.499721Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 765226b3-6db1-445e-8fc4-100b33555525 · outbound

This paper cites UNet++: A nested U-Net architecture for medical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation UNet++: A nested U-Net architecture for medical image segmentation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.477965Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d0f16c6f-7583-49b9-963b-b6842b3be8b2 · outbound

This paper cites nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T18:34:35.727969Z

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Observation 1d9ca776-454b-4289-b8d5-d71f09f92f74 · outbound

This paper cites FDA: Fourier domain adaptation for semantic segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation FDA: Fourier domain adaptation for semantic segmentation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.432634Z

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Observation 32e61274-2eec-4323-a132-25dc43ec1b98 · outbound

This paper cites Global filter networks for image classification,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Global filter networks for image classification,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.403269Z

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Observation 3a5c69ad-a324-4cff-8950-cebe0d8293f4 · outbound

This paper cites FreMIM: Fourier transform meets masked image modeling for medical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation FreMIM: Fourier transform meets masked image modeling for medical image segmentation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.377829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8afa3ef5-af51-4077-83c2-e533b6c8e7a2 · outbound

This paper cites Implicit neural representation in medical imaging: A comparative survey,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Implicit neural representation in medical imaging: A comparative survey,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.359186Z

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Observation 68def06f-821d-4b9f-a416-2deba22af8d3 · outbound

This paper cites Implicit neural representations for medical imaging segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Implicit neural representations for medical imaging segmentation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.340549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d705ba10-8295-4743-a3ae-8f6ded436727 · outbound

This paper cites Implicit anatomical rendering for medical image segmentation with stochastic experts,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Implicit anatomical rendering for medical image segmentation with stochastic experts,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.297145Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 032ee923-a84d-466e-8837-50d03339d525 · outbound

This paper cites NISF: Neural implicit segmentation functions,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation NISF: Neural implicit segmentation functions,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:45.163876Z

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Observation a49b2001-677c-461e-bd45-e99fc8c6c374 · outbound

This paper cites Aubert and P.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Aubert and P

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:44.940353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 008f42c8-330f-4420-a502-bab9208280d0 · outbound

This paper cites Sapiro, Geometric partial differential equations and image analysis.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Sapiro, Geometric partial differential equations and image analysis

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:40.370992Z

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Observation 043ce268-2a4d-482e-a241-f6e72fda6a6a · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 35

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Observation 64f61b50-4f68-4037-9870-2b17370f9908 · outbound

This paper cites A more symmetrical Fourier analysis applied to transmission problems,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation A more symmetrical Fourier analysis applied to transmission problems,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:39.485199Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fd675ae9-d8be-457e-8e72-b763f563898c · outbound

This paper cites Discrete Hartley transform,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Discrete Hartley transform,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:39.258833Z

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Observation b0707556-e928-44d6-9763-50411ffbac00 · outbound

This paper cites The importance of phase in signals,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation The importance of phase in signals,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:39.143078Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ffc18dd8-de76-4c97-b5e8-8e56dffc5eda · outbound

This paper cites 3D segmentation with fully trainable Gabor kernels and Pearson’s correlation coefficient,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation 3D segmentation with fully trainable Gabor kernels and Pearson’s correlation coefficient,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:38.952314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 529473cb-324b-4987-a645-8cb3f45c6bcf · outbound

This paper cites Adam: A Method for Stochastic Optimization.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Adam: A Method for Stochastic Optimization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T18:34:36.841973Z

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Observation 3e344fd2-7ac8-4ef9-9ca2-aa6f5b5691bd · outbound

This paper cites SGDR: Stochastic gradient descent with warm restarts,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation SGDR: Stochastic gradient descent with warm restarts,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:38.836733Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 24de7945-11e4-4a56-8ac9-ae98b35049be · outbound

This paper cites BraTS 2023 Challenge,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation BraTS 2023 Challenge,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:38.717279Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bff25a08-624f-4445-bf83-dfb13c76c7b0 · outbound

This paper cites The 2023 Kidney and Kidney Tumor Segmentation Challenge,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation The 2023 Kidney and Kidney Tumor Segmentation Challenge,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:38.595786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e5fe692a-5149-4fb5-8cae-897fc117f7fd · outbound

This paper cites MVSEG2023,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation MVSEG2023,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:38.382574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dddc4c52-92a2-4f77-8266-aed10b714aa7 · outbound

This paper cites 3D segmentation with exponential logarithmic loss for highly unbalanced object sizes,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation 3D segmentation with exponential logarithmic loss for highly unbalanced object sizes,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:38.139619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6105f3ef-b6a8-4f28-8bf5-37fcbeb64c9e · outbound

This paper cites Variability in image quality and radiation dose within and across 97 medical facilities,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Variability in image quality and radiation dose within and across 97 medical facilities,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:37.861143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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