P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation | Paper Citation Record

Observation f8d29b5b-9a79-4321-a6c3-c18478182a41 · outbound

This paper cites Clinically applicable deep learning for diagnosis and re- ferral in retinal disease.Nature medicine, 24(9):1342–1350, 2018.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Clinically applicable deep learning for diagnosis and re- ferral in retinal disease.Nature medicine, 24(9):1342–1350, 2018

Reference 1

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Observation 1fbceb53-9e1f-4c84-b9c9-102177f44b69 · outbound

This paper cites Video-based ai for beat-to-beat assessment of cardiac func- tion.Nature, 580(7802):252–256, 2020.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Video-based ai for beat-to-beat assessment of cardiac func- tion.Nature, 580(7802):252–256, 2020

Reference 2

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Observation adef5a10-78b8-4191-af06-6215bf2e1d76 · outbound

This paper cites Bidirectional copy-paste for semi-supervised medical image segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Bidirectional copy-paste for semi-supervised medical image segmentation

Reference 3

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This paper cites Mcf: Mutual correction framework for semi-supervised medical image segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Mcf: Mutual correction framework for semi-supervised medical image segmentation

Reference 4

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Observation e29ec6f5-31dd-4dec-a3e8-6d83bccd561b · outbound

This paper cites Pseudo-label guided contrastive learning for semi-supervised medical image segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Pseudo-label guided contrastive learning for semi-supervised medical image segmentation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:03.849336Z

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Observation 13fef9b3-7410-405c-a1c9-070a9a9ba84f · outbound

This paper cites Orthog- onal annotation benefits barely-supervised medical image segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Orthog- onal annotation benefits barely-supervised medical image segmentation

Reference 6

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Observation 57f6a7e4-c523-43ba-86e2-9b9cfeff8dd1 · outbound

This paper cites Uncertainty-aware self-ensembling model for semi-supervised 3d left atrium seg- mentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Uncertainty-aware self-ensembling model for semi-supervised 3d left atrium seg- mentation

Reference 7

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Observation 4e8f0c92-5e2e-4b0f-93b5-4275ec1c299e · outbound

This paper cites Shape-aware semi-supervised 3d semantic segmentation for medical images.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Shape-aware semi-supervised 3d semantic segmentation for medical images

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:03.068674Z

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Observation 0c720d39-c8c2-4483-9345-91c0c7348b75 · outbound

This paper cites Semi-supervised medi- cal image segmentation through dual-task consistency.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Semi-supervised medi- cal image segmentation through dual-task consistency

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:02.824988Z

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Observation e8d1e197-d281-4f35-89e4-0dada2ec7318 · outbound

This paper cites Magicnet: Semi-supervised multi-organ segmentation via magic-cube partition and recovery.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Magicnet: Semi-supervised multi-organ segmentation via magic-cube partition and recovery

Reference 10

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Observation 1da0cd2e-fcbc-48f4-a4b0-deaa2b501e09 · outbound

This paper cites Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.Med.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.Med

Reference 11

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Observation f05c84df-52a1-4285-b154-edc476f0271d · outbound

This paper cites Reference-guided pseudo-label generation for medical semantic segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Reference-guided pseudo-label generation for medical semantic segmentation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:02.108444Z

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Observation 372f9016-d77e-4680-8a24-66ff8a0dcff4 · outbound

This paper cites Intra-and inter-pair consistency for semi-supervised gland segmenta- tion.IEEE Trans.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Intra-and inter-pair consistency for semi-supervised gland segmenta- tion.IEEE Trans

Reference 13

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Observation 98f8e141-d4a0-4f07-92bc-8d81dbe3021b · outbound

This paper cites Enhancing pseudo label quality for semi-supervised domain-generalized medical image segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Enhancing pseudo label quality for semi-supervised domain-generalized medical image segmentation

Reference 14

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This paper cites an unresolved cited work.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:29:01.305886Z

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Observation e63d8487-eef4-4f85-9a45-159057c770c4 · outbound

This paper cites Adaptive hierarchical dual consistency for semi-supervised left atrium segmentation on cross-domain data.IEEE Trans.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Adaptive hierarchical dual consistency for semi-supervised left atrium segmentation on cross-domain data.IEEE Trans

Reference 16

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Observation 16d0954d-3b1a-41be-a21b-82d5161f46b0 · outbound

This paper cites Transformation-consistent self-ensembling model for semisupervised medical image segmentation.IEEE Trans.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Transformation-consistent self-ensembling model for semisupervised medical image segmentation.IEEE Trans

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:29:00.840417Z

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Observation 10beb411-dda2-4f11-b2df-7772d8069d9f · outbound

This paper cites Inconsistency-aware uncertainty estimation for semi-supervised medical image segmentation.IEEE Trans.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Inconsistency-aware uncertainty estimation for semi-supervised medical image segmentation.IEEE Trans

Reference 18

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Observation eb5bd785-884e-418d-818c-89666fa4bbd4 · outbound

This paper cites Mum: Mix image tiles and unmix feature tiles for semi-supervised object detection.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Mum: Mix image tiles and unmix feature tiles for semi-supervised object detection

Reference 19

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Observation c7a7f057-e125-4d3e-8b49-2fb545cf5da5 · outbound

This paper cites Perturbed and strict mean teachers for semi-supervised se- mantic segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Perturbed and strict mean teachers for semi-supervised se- mantic segmentation

Reference 20

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Observation e0130166-be0a-4906-a5a5-94c5fa562649 · outbound

This paper cites Instance- specific and model-adaptive supervision for semi-supervised semantic segmenta- tion.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Instance- specific and model-adaptive supervision for semi-supervised semantic segmenta- tion

Reference 21

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Observation c1a41728-b614-4651-a08d-364eb3daaaac · outbound

This paper cites Revisiting weak-to-strong consistency in semi-supervised semantic segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Revisiting weak-to-strong consistency in semi-supervised semantic segmentation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:59.623731Z

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Observation 8b58615f-3ea3-4978-8bce-b50d8260d82f · outbound

This paper cites Augmentation matters: A simple-yet-effective approach to semi-supervised se- mantic segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Augmentation matters: A simple-yet-effective approach to semi-supervised se- mantic segmentation

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Observation accbe04d-c9d3-4820-ac81-1a6789723685 · outbound

This paper cites Dsp: Dual soft-paste for unsupervised domain adaptive semantic segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Dsp: Dual soft-paste for unsupervised domain adaptive semantic segmentation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:59.055638Z

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Observation 61b4a0a4-c8c4-4458-946a-5af980feb36a · outbound

This paper cites Class- mix: Segmentation-based data augmentation for semi-supervised learning.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Class- mix: Segmentation-based data augmentation for semi-supervised learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:58.697953Z

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Observation c67e4fea-659c-40e2-a3c9-d5a97b2dcdc7 · outbound

This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Cutmix: Regularization strategy to train strong classifiers with localizable features

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:58.357278Z

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Observation f1257846-68a0-43ef-8b6b-36e419b399b6 · outbound

This paper cites Remind your neural network to prevent catastrophic forgetting.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Remind your neural network to prevent catastrophic forgetting

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Observation 1007a36a-dcd5-415c-803a-429c104290c1 · outbound

This paper cites Tripled-uncertainty guided mean teacher model for semi-supervised 25 medical image segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Tripled-uncertainty guided mean teacher model for semi-supervised 25 medical image segmentation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:57.702245Z

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Observation 374ef793-9e76-4f16-8d88-cd3833737390 · outbound

This paper cites Semi-supervised neuron segmentation via reinforced consis- tency learning.IEEE Trans.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Semi-supervised neuron segmentation via reinforced consis- tency learning.IEEE Trans

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Observation 9d141952-fb28-43c8-8ae0-1564bd16c90f · outbound

This paper cites Dacs: Domain adaptation via cross-domain mixed sampling.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Dacs: Domain adaptation via cross-domain mixed sampling

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Observation 00e1f04e-292a-427e-ab99-fc1177fd5bda · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation mixup: Beyond Empirical Risk Minimization

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Observation 70462a19-6ee4-4198-b7f4-b6827c333739 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation YOLOX: Exceeding YOLO Series in 2021

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Observation b1a333a0-652f-452c-853e-34d6055d6b14 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Improved Regularization of Convolutional Neural Networks with Cutout

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Observation 2433fd77-4614-4bc6-8794-67057a202046 · outbound

This paper cites Interpolation consistency training for semi- supervised learning.Neural Networks, 145:90–106, 2022.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Interpolation consistency training for semi- supervised learning.Neural Networks, 145:90–106, 2022

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Observation d949184b-4088-4ed6-8944-b1f68f9b1459 · outbound

This paper cites Mixmatch: A holistic approach to semi-supervised learning.Advances in neural information processing systems, 32, 2019.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Mixmatch: A holistic approach to semi-supervised learning.Advances in neural information processing systems, 32, 2019

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Observation 9745da6a-3eda-4da7-8405-52c86e2a37fa · outbound

This paper cites ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

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Observation 261624f5-74fe-4978-85b6-20caa6c12b99 · outbound

This paper cites Semi-supervised semantic segmentation needs strong, varied perturbations.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Semi-supervised semantic segmentation needs strong, varied perturbations

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Observation 697ea9bb-1f00-4592-ad07-f67c8d872d8e · outbound

This paper cites Structured Consistency Loss for semi-supervised semantic segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Structured Consistency Loss for semi-supervised semantic segmentation

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Observation fd7ed569-8be0-42c8-8912-4e3c64d271e2 · outbound

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P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Optimization of repetition spacing in the practice of learning.Acta neurobiologiae experimentalis, 54:59–59, 1994

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Observation 41da4060-2e7f-4cd2-a552-99e3d5621de8 · outbound

This paper cites Memory: A contribution to experimental psychology.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Memory: A contribution to experimental psychology

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Observation 0cb860c5-0b72-40d8-afc5-58c7a1252682 · outbound

This paper cites A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.Med.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.Med

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Observation c87e6129-056e-4db4-9d09-ccaebd758be1 · outbound

This paper cites Explor- ing smoothness and class-separation for semi-supervised medical image segmen- tation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Explor- ing smoothness and class-separation for semi-supervised medical image segmen- tation

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Observation 7e74ab6b-4a5e-4b6a-8057-b393f34149d1 · outbound

This paper cites Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation

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Observation d6d85ea9-fbc5-4346-94ba-5d9220f4b155 · outbound

This paper cites Deep learning techniques for automatic mri cardiac multi- structures segmentation and diagnosis: is the problem solved?IEEE Trans.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Deep learning techniques for automatic mri cardiac multi- structures segmentation and diagnosis: is the problem solved?IEEE Trans

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Observation 73c99944-e043-4616-976f-c17fa8efb961 · outbound

This paper cites Cross-patch dense contrastive learning for semi-supervised segmentation of cellular nuclei in 27 histopathologic images.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Cross-patch dense contrastive learning for semi-supervised segmentation of cellular nuclei in 27 histopathologic images

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This paper cites SSL4MIS.https://github.com/HiLab-git/SSL4MIS, 2020.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation SSL4MIS.https://github.com/HiLab-git/SSL4MIS, 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:54.256894Z

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Observation e65bdaf2-a8f0-4cf4-ab9f-ff23459ee7ff · outbound

This paper cites The medical segmentation decathlon.Nature communications, 13(1):4128, 2022.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation The medical segmentation decathlon.Nature communications, 13(1):4128, 2022

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Observation cd635d8b-bb1f-41da-bc80-a28ee5bdaa1a · outbound

This paper cites Cat: Constrained adversarial training for anatomically- plausible semi-supervised segmentation.IEEE Trans.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Cat: Constrained adversarial training for anatomically- plausible semi-supervised segmentation.IEEE Trans

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Observation 42d9fb00-a6b0-4bca-9f41-1c3915d56959 · outbound

This paper cites Temporal Ensembling for Semi-Supervised Learning.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Temporal Ensembling for Semi-Supervised Learning

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This paper cites Semi-supervised semantic segmentation with cross pseudo supervision.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Semi-supervised semantic segmentation with cross pseudo supervision

Reference 50

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This paper cites Re-distributing biased pseudo labels for semi-supervised semantic segmentation: A baseline investigation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Re-distributing biased pseudo labels for semi-supervised semantic segmentation: A baseline investigation

Reference 51

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This paper cites Semi-supervised semantic seg- mentation with cross-consistency training.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Semi-supervised semantic seg- mentation with cross-consistency training

Reference 52

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This paper cites Fully convolutional neural networks for volumetric medical image segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Fully convolutional neural networks for volumetric medical image segmentation

Reference 53

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Observation 26d9b38f-beaf-435f-9f61-b4f90ac7d88b · outbound

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

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation U-net: Convolutional net- works for biomedical image segmentation

Reference 54

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This paper cites Correlation- aware mutual learning for semi-supervised medical image segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Correlation- aware mutual learning for semi-supervised medical image segmentation

Reference 55

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This paper cites Upcol: Uncertainty-informed prototype consistency learning for semi-supervised medical image segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Upcol: Uncertainty-informed prototype consistency learning for semi-supervised medical image segmentation

Reference 56

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Observation 12db9dbf-5ac0-4571-817f-b146b903335b · outbound

This paper cites Combinatorial cnn-transformer learning with manifold constraints for semi-supervised medical image segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Combinatorial cnn-transformer learning with manifold constraints for semi-supervised medical image segmentation

Reference 57

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This paper cites Consistency-guided differential decoding for enhancing semi- supervised medical image segmentation.IEEE Transactions on Medical Imaging, pages 1–1, 2024.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Consistency-guided differential decoding for enhancing semi- supervised medical image segmentation.IEEE Transactions on Medical Imaging, pages 1–1, 2024

Reference 58

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This paper cites Pmt: Progressive mean teacher via exploring temporal consistency for semi-supervised medical image segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Pmt: Progressive mean teacher via exploring temporal consistency for semi-supervised medical image segmentation

Reference 59

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Observation b0041412-ee65-4bcc-8aad-0f5259dc9a52 · outbound

This paper cites Decoupled consis- tency for semi-supervised medical image segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Decoupled consis- tency for semi-supervised medical image segmentation

Reference 60

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Observation 15fd4d1c-c3fa-4d31-8d29-537178125fdd · outbound

This paper cites Semi-supervised medical image segmentation using cross-model pseudo-supervision with shape awareness and local context constraints.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Semi-supervised medical image segmentation using cross-model pseudo-supervision with shape awareness and local context constraints

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:50.554852Z

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This paper cites Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation

Reference 62

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Observation e85a1243-4b72-4a34-be8e-198d43002f41 · outbound

This paper cites Adaptive bidirec- tional displacement for semi-supervised medical image segmentation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Adaptive bidirec- tional displacement for semi-supervised medical image segmentation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:50.243416Z

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Observation 724ca80c-81e6-42b5-a4ce-59ff228101c3 · outbound

This paper cites Gradient-aware for class-imbalanced semi- supervised medical image segmentation.pancreas, 98:1–86.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Gradient-aware for class-imbalanced semi- supervised medical image segmentation.pancreas, 98:1–86

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:49.956065Z

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Observation 18f6d9d5-c7e3-4978-b0ef-d3c6ac798f50 · outbound

This paper cites Alternate diverse teaching for semi-supervised medical image segmen- tation.

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Alternate diverse teaching for semi-supervised medical image segmen- tation

Reference 65

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