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1
A low-light image enhancement method based on AUDD-GAN
A low-light image enhancement method based on AUDD-GAN
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A low-light image enhancement method based on AUDD-GAN

Journal of physics. Conference series, 2023-02, Vol.2425 (1), p.12027 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2425/1/012027

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2
KDE-GAN: A multimodal medical image-fusion model based on knowledge distillation and explainable AI modules
KDE-GAN: A multimodal medical image-fusion model based on knowledge distillation and explainable AI modules
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KDE-GAN: A multimodal medical image-fusion model based on knowledge distillation and explainable AI modules

Computers in biology and medicine, 2022-12, Vol.151 (Pt A), p.106273-106273, Article 106273 [Peer Reviewed Journal]

2022 Elsevier Ltd ;Copyright © 2022 Elsevier Ltd. All rights reserved. ;2022. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2022.106273 ;PMID: 36368109

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3
DU-GAN: Generative Adversarial Networks With Dual-Domain U-Net-Based Discriminators for Low-Dose CT Denoising
DU-GAN: Generative Adversarial Networks With Dual-Domain U-Net-Based Discriminators for Low-Dose CT Denoising
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DU-GAN: Generative Adversarial Networks With Dual-Domain U-Net-Based Discriminators for Low-Dose CT Denoising

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-12 [Peer Reviewed Journal]

ISSN: 0018-9456 ;EISSN: 1557-9662 ;DOI: 10.1109/TIM.2021.3128703 ;CODEN: IEIMAO

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4
OASIS: Only Adversarial Supervision for Semantic Image Synthesis
OASIS: Only Adversarial Supervision for Semantic Image Synthesis
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OASIS: Only Adversarial Supervision for Semantic Image Synthesis

International journal of computer vision, 2022-12, Vol.130 (12), p.2903-2923 [Peer Reviewed Journal]

The Author(s) 2022 ;COPYRIGHT 2022 Springer ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-022-01673-x

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5
MMFGAN: A novel multimodal brain medical image fusion based on the improvement of generative adversarial network
MMFGAN: A novel multimodal brain medical image fusion based on the improvement of generative adversarial network
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MMFGAN: A novel multimodal brain medical image fusion based on the improvement of generative adversarial network

Multimedia tools and applications, 2022-02, Vol.81 (4), p.5889-5927 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-021-11822-y

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6
APIGAN: Learning to Recommend Java API in Real-Time Using Generative Adversarial Networks
APIGAN: Learning to Recommend Java API in Real-Time Using Generative Adversarial Networks
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APIGAN: Learning to Recommend Java API in Real-Time Using Generative Adversarial Networks

Journal of physics. Conference series, 2022-12, Vol.2400 (1), p.012055 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2400/1/012055

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7
Combined Constraint on Behavior Cloning and Discriminator in Offline Reinforcement Learning
Combined Constraint on Behavior Cloning and Discriminator in Offline Reinforcement Learning
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Combined Constraint on Behavior Cloning and Discriminator in Offline Reinforcement Learning

IEEE access, 2024, Vol.12, p.19942-19951 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2024.3361030 ;CODEN: IAECCG

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8
Generative adversarial network based resource optimization for UAV jamming assisted cognitive covert communication
Generative adversarial network based resource optimization for UAV jamming assisted cognitive covert communication
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Generative adversarial network based resource optimization for UAV jamming assisted cognitive covert communication

Journal of physics. Conference series, 2024-03, Vol.2717 (1), p.012013 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2717/1/012013

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9
Cross-Domain Association Mining Based Generative Adversarial Network for Pansharpening
Cross-Domain Association Mining Based Generative Adversarial Network for Pansharpening
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Cross-Domain Association Mining Based Generative Adversarial Network for Pansharpening

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.7770-7783 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2022.3204824 ;CODEN: IJSTHZ

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10
Image Inpainting Based on Patch-GANs
Image Inpainting Based on Patch-GANs
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Image Inpainting Based on Patch-GANs

IEEE access, 2019, Vol.7, p.46411-46421 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2909553 ;CODEN: IAECCG

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11
ESTUGAN: Enhanced Swin Transformer with U-Net Discriminator for Remote Sensing Image Super-Resolution
ESTUGAN: Enhanced Swin Transformer with U-Net Discriminator for Remote Sensing Image Super-Resolution
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ESTUGAN: Enhanced Swin Transformer with U-Net Discriminator for Remote Sensing Image Super-Resolution

Electronics (Basel), 2023-10, Vol.12 (20), p.4235 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics12204235

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12
Face Completion Based on Symmetry Awareness with Conditional GAN
Face Completion Based on Symmetry Awareness with Conditional GAN
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Face Completion Based on Symmetry Awareness with Conditional GAN

Symmetry (Basel), 2023-03, Vol.15 (3), p.663 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2073-8994 ;EISSN: 2073-8994 ;DOI: 10.3390/sym15030663

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13
Image Enhancement Based on Dual-Branch Generative Adversarial Network Combining Spatial and Frequency Domain Information for Imbalanced Fault Diagnosis of Rolling Bearing
Image Enhancement Based on Dual-Branch Generative Adversarial Network Combining Spatial and Frequency Domain Information for Imbalanced Fault Diagnosis of Rolling Bearing
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Image Enhancement Based on Dual-Branch Generative Adversarial Network Combining Spatial and Frequency Domain Information for Imbalanced Fault Diagnosis of Rolling Bearing

Symmetry (Basel), 2024-04, Vol.16 (5), p.512 [Peer Reviewed Journal]

2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2073-8994 ;DOI: 10.3390/sym16050512

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14
Expansion of the CT-scans image set based on the pretrained DCGAN for improving the performance of the CNN
Expansion of the CT-scans image set based on the pretrained DCGAN for improving the performance of the CNN
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Expansion of the CT-scans image set based on the pretrained DCGAN for improving the performance of the CNN

Journal of physics. Conference series, 2023-12, Vol.2646 (1), p.12015 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2646/1/012015

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15
Image Inpainting with Parallel Decoding Structure for Future Internet
Image Inpainting with Parallel Decoding Structure for Future Internet
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Image Inpainting with Parallel Decoding Structure for Future Internet

Electronics (Basel), 2023-04, Vol.12 (8), p.1872 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics12081872

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16
Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS
Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS
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Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS

IEEE open journal of signal processing, 2024, Vol.5, p.577-587 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 ;EISSN: 2644-1322 ;DOI: 10.1109/OJSP.2024.3386495 ;CODEN: IOJSAF

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17
LMGAN: Linguistically Informed Semi-Supervised GAN with Multiple Generators
LMGAN: Linguistically Informed Semi-Supervised GAN with Multiple Generators
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LMGAN: Linguistically Informed Semi-Supervised GAN with Multiple Generators

Sensors (Basel, Switzerland), 2022-11, Vol.22 (22), p.8761 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22228761 ;PMID: 36433358

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18
Highlight Removal from A Single Grayscale Image Using Attentive GAN
Highlight Removal from A Single Grayscale Image Using Attentive GAN
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Highlight Removal from A Single Grayscale Image Using Attentive GAN

Applied artificial intelligence, 2022-12, Vol.36 (1) [Peer Reviewed Journal]

2022 The Author(s). Published with license by Taylor & Francis Group, LLC. 2022 ;2022 The Author(s). Published with license by Taylor & Francis Group, LLC. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0883-9514 ;EISSN: 1087-6545 ;DOI: 10.1080/08839514.2021.1988441

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19
Retinal Vessel Segmentation Using Multi-Scale Residual Convolutional Neural Network (MSR-Net) Combined with Generative Adversarial Networks
Retinal Vessel Segmentation Using Multi-Scale Residual Convolutional Neural Network (MSR-Net) Combined with Generative Adversarial Networks
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Retinal Vessel Segmentation Using Multi-Scale Residual Convolutional Neural Network (MSR-Net) Combined with Generative Adversarial Networks

Circuits, systems, and signal processing, 2023-02, Vol.42 (2), p.1206-1235 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0278-081X ;EISSN: 1531-5878 ;DOI: 10.1007/s00034-022-02190-5

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20
EmoKbGAN: Emotion controlled response generation using Generative Adversarial Network for knowledge grounded conversation
EmoKbGAN: Emotion controlled response generation using Generative Adversarial Network for knowledge grounded conversation
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EmoKbGAN: Emotion controlled response generation using Generative Adversarial Network for knowledge grounded conversation

PloS one, 2023-02, Vol.18 (2), p.e0280458-e0280458 [Peer Reviewed Journal]

Copyright: © 2023 Varshney et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;2023 Varshney et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 Varshney et al 2023 Varshney et al ;2023 Varshney et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0280458 ;PMID: 36795731

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