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1
Development of an Image Analysis Method for Pepperpot Emittance Monitors
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Development of an Image Analysis Method for Pepperpot Emittance Monitors

Journal of physics. Conference series, 2024-05, Vol.2743 (1), p.012071 [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: 10.1088/1742-6596/2743/1/012071

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2
Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
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Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress

Plant methods, 2017-10, Vol.13 (1), p.80-80, Article 80 [Peer Reviewed Journal]

Copyright BioMed Central 2017 ;The Author(s) 2017 ;ISSN: 1746-4811 ;EISSN: 1746-4811 ;DOI: 10.1186/s13007-017-0233-z ;PMID: 29051772

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3
Artificial intelligence in GI endoscopy: stumbling blocks, gold standards and the role of endoscopy societies
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Artificial intelligence in GI endoscopy: stumbling blocks, gold standards and the role of endoscopy societies

public 610844; 628793;All rights reserved ;ISSN: 0017-5749 ;ISSN: 1468-3288 ;EISSN: 1468-3288 ;DOI: 10.1136/gutjnl-2020-323115

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4
Deep Learning Applications in Medical Image Analysis
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Deep Learning Applications in Medical Image Analysis

IEEE access, 2018-01, Vol.6, p.9375-9389 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2788044 ;CODEN: IAECCG

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5
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery
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Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery

IEEE transactions on geoscience and remote sensing, 2019-02, Vol.57 (2), p.924-935 [Peer Reviewed Journal]

ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2018.2863224 ;CODEN: IGRSD2

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6
Recent Advances in Multi- and Hyperspectral Image Analysis
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Recent Advances in Multi- and Hyperspectral Image Analysis

Sensors (Basel, Switzerland), 2021-09, Vol.21 (18), p.6002 [Peer Reviewed Journal]

2021 by the author. 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. ;2021 by the author. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21186002 ;PMID: 34577211

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7
Medical Image Analysis using Convolutional Neural Networks: A Review
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Medical Image Analysis using Convolutional Neural Networks: A Review

Journal of medical systems, 2018-11, Vol.42 (11), p.226-13, Article 226 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2018 ;Journal of Medical Systems is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0148-5598 ;EISSN: 1573-689X ;DOI: 10.1007/s10916-018-1088-1 ;PMID: 30298337

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8
Needle detection using ultrasound B‐mode and power Doppler analyses
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Article
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Needle detection using ultrasound B‐mode and power Doppler analyses

Medical physics (Lancaster), 2022-08, Vol.49 (8), p.4999-5013 [Peer Reviewed Journal]

2022 American Association of Physicists in Medicine. ;This article is protected by copyright. All rights reserved. ;ISSN: 0094-2405 ;EISSN: 2473-4209 ;DOI: 10.1002/mp.15725 ;PMID: 35608237

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9
Geographic Object-Based Image Analysis: A Primer and Future Directions
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Geographic Object-Based Image Analysis: A Primer and Future Directions

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (12), p.2012 [Peer Reviewed Journal]

2020. This work is licensed 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: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12122012

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10
Monitoring Onion Crop “Cipolla Rossa di Tropea Calabria IGP” Growth and Yield Response to Varying Nitrogen Fertilizer Application Rates Using UAV Imagery
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Monitoring Onion Crop “Cipolla Rossa di Tropea Calabria IGP” Growth and Yield Response to Varying Nitrogen Fertilizer Application Rates Using UAV Imagery

Drones (Basel), 2021-09, Vol.5 (3), p.61 [Peer Reviewed Journal]

2021 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: 2504-446X ;EISSN: 2504-446X ;DOI: 10.3390/drones5030061

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11
Deep Visual Proteomics defines single-cell identity and heterogeneity
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Deep Visual Proteomics defines single-cell identity and heterogeneity

Nature biotechnology, 2022-08, Vol.40 (8), p.1231-1240 [Peer Reviewed Journal]

2022. The Author(s). ;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. ;The Author(s) 2022 ;ISSN: 1087-0156 ;ISSN: 1546-1696 ;EISSN: 1546-1696 ;DOI: 10.1038/s41587-022-01302-5 ;PMID: 35590073

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12
Correction: Fuzzy-based propagation of prior knowledge to improve large-scale image analysis pipelines
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Correction: Fuzzy-based propagation of prior knowledge to improve large-scale image analysis pipelines

PloS one, 2018-03, Vol.13 (3), p.e0195394-e0195394 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Stegmaier, Mikut. 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. ;2018 Stegmaier, Mikut 2018 Stegmaier, Mikut ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0195394 ;PMID: 29596511

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13
Guest Editorial: Special issue on intelligence technology for remote sensing image
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Article
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Guest Editorial: Special issue on intelligence technology for remote sensing image

CAAI Transactions on Intelligence Technology, 2023-12, Vol.8 (4), p.1164-1165 [Peer Reviewed Journal]

2023 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and Chongqing University of Technology. ;ISSN: 2468-2322 ;EISSN: 2468-2322 ;DOI: 10.1049/cit2.12275

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14
Image analysis of volcanic plumes: A simple calibration tool to correct for the effect of wind
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Article
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Image analysis of volcanic plumes: A simple calibration tool to correct for the effect of wind

Volcanica, 2023-11, Vol.6 (2), p.447-458 [Peer Reviewed Journal]

ISSN: 2610-3540 ;EISSN: 2610-3540 ;DOI: 10.30909/vol.06.02.447458

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15
An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays
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An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays

PloS one, 2020-07, Vol.15 (7), p.e0232565-e0232565 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Suarez-Arnedo 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. ;2020 Suarez-Arnedo et al 2020 Suarez-Arnedo et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0232565 ;PMID: 32722676

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16
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
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A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches

The Artificial intelligence review, 2022-08, Vol.55 (6), p.4809-4878 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Nature B.V. 2021 ;COPYRIGHT 2022 Springer ;The Author(s), under exclusive licence to Springer Nature B.V. 2021. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-021-10121-0

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17
BIAS: Transparent reporting of biomedical image analysis challenges
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Article
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BIAS: Transparent reporting of biomedical image analysis challenges

Medical image analysis, 2020-12, Vol.66 [Peer Reviewed Journal]

Attribution - NonCommercial - NoDerivatives ;ISSN: 1361-8415 ;EISSN: 1361-8423 ;DOI: 10.1016/j.media.2020.101796 ;PMID: 32911207

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18
Transfer learning for medical image classification: a literature review
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Transfer learning for medical image classification: a literature review

BMC medical imaging, 2022-04, Vol.22 (1), p.69-69, Article 69 [Peer Reviewed Journal]

2022. The Author(s). ;COPYRIGHT 2022 BioMed Central Ltd. ;2022. This work is licensed 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. ;The Author(s) 2022 ;ISSN: 1471-2342 ;EISSN: 1471-2342 ;DOI: 10.1186/s12880-022-00793-7 ;PMID: 35418051

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19
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
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Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Journal of cardiovascular magnetic resonance, 2018-09, Vol.20 (1), p.65-65, Article 65 [Peer Reviewed Journal]

COPYRIGHT 2018 BioMed Central Ltd. ;COPYRIGHT 2018 BioMed Central Ltd. ;Copyright © 2018. This work is licensed 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. ;The Author(s) 2018 ;ISSN: 1532-429X ;ISSN: 1097-6647 ;EISSN: 1532-429X ;DOI: 10.1186/s12968-018-0471-x ;PMID: 30217194

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20
2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications
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Book
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2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications

ISBN: 0471649546 ;ISBN: 9780471649540 ;ISBN: 0471724262 ;ISBN: 9780471724261 ;ISBN: 0471724270 ;ISBN: 9780471724278 ;EISBN: 0471724262 ;EISBN: 9780471724261 ;DOI: 10.1002/0471724270 ;OCLC: 58651766 ;LCCallNum: TA1637.G68

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