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Refinado por: Base de dados/Biblioteca: EZB Free E-Journals remover assunto: Life Sciences & Biomedicine remover
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1
Image processing of multiphase images obtained via X-ray microtomography: A review
Image processing of multiphase images obtained via X-ray microtomography: A review
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Image processing of multiphase images obtained via X-ray microtomography: A review

Schlüter, Steffen ; Sheppard, Adrian ; Brown, Kendra ; Wildenschild, Dorthe

Water resources research, 2014-04, Vol.50 (4), p.3615-3639 [Periódico revisado por pares]

Washington: Blackwell Publishing Ltd

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2
A study on fluoroscopic images in exposure reduction techniques ― Focusing on the image quality of fluoroscopic images and exposure images
A study on fluoroscopic images in exposure reduction techniques ― Focusing on the image quality of fluoroscopic images and exposure images
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A study on fluoroscopic images in exposure reduction techniques ― Focusing on the image quality of fluoroscopic images and exposure images

Sato, Hisaya ; Kittaka, Daisuke ; Ohsawa, Miwa ; Kato, Kyoichi

Journal of applied clinical medical physics, 2019-04, Vol.20 (4), p.125-131 [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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3
Deep‐TOF‐PET: Deep learning‐guided generation of time‐of‐flight from non‐TOF brain PET images in the image and projection domains
Deep‐TOF‐PET: Deep learning‐guided generation of time‐of‐flight from non‐TOF brain PET images in the image and projection domains
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Deep‐TOF‐PET: Deep learning‐guided generation of time‐of‐flight from non‐TOF brain PET images in the image and projection domains

Sanaat, Amirhossein ; Akhavanalaf, Azadeh ; Shiri, Isaac ; Salimi, Yazdan ; Arabi, Hossein ; Zaidi, Habib

Human brain mapping, 2022-11, Vol.43 (16), p.5032-5043 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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4
Focal liver masses : Enhancement patterns on contrast-enhanced images-concordance of us scans with CT scans and MR images
Focal liver masses : Enhancement patterns on contrast-enhanced images-concordance of us scans with CT scans and MR images
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Focal liver masses : Enhancement patterns on contrast-enhanced images-concordance of us scans with CT scans and MR images

BURNS, Peter N ; WILSON, Stephanie R

Radiology, 2007, Vol.242 (1), p.162-174 [Periódico revisado por pares]

Oak Brook, IL: Radiological Society of North America

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5
Tensor image registration library: Deformable registration of stand‐alone histology images to whole‐brain post‐mortem MRI data
Tensor image registration library: Deformable registration of stand‐alone histology images to whole‐brain post‐mortem MRI data
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Tensor image registration library: Deformable registration of stand‐alone histology images to whole‐brain post‐mortem MRI data

Huszar, Istvan N. ; Pallebage-Gamarallage, Menuka ; Bangerter-Christensen, Sarah ; Brooks, Hannah ; Fitzgibbon, Sean ; Foxley, Sean ; Hiemstra, Marlies ; Howard, Amy F.D. ; Jbabdi, Saad ; Kor, Daniel Z.L. ; Leonte, Anna ; Mollink, Jeroen ; Smart, Adele ; Tendler, Benjamin C. ; Turner, Martin R. ; Ansorge, Olaf ; Miller, Karla L. ; Jenkinson, Mark

NeuroImage (Orlando, Fla.), 2023-01, Vol.265, p.119792-119792, Article 119792 [Periódico revisado por pares]

United States: Elsevier Inc

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6
Convolutional Neural Networks for Radiologic Images: A Radiologist's Guide
Convolutional Neural Networks for Radiologic Images: A Radiologist's Guide
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Convolutional Neural Networks for Radiologic Images: A Radiologist's Guide

Soffer, Shelly ; Ben-Cohen, Avi ; Shimon, Orit ; Amitai, Michal Marianne ; Greenspan, Hayit ; Klang, Eyal

Radiology, 2019-03, Vol.290 (3), p.590-606 [Periódico revisado por pares]

United States

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7
Intelligent Image-Activated Cell Sorting
Intelligent Image-Activated Cell Sorting
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Intelligent Image-Activated Cell Sorting

Nitta, Nao ; Sugimura, Takeaki ; Isozaki, Akihiro ; Mikami, Hideharu ; Hiraki, Kei ; Sakuma, Shinya ; Iino, Takanori ; Arai, Fumihito ; Endo, Taichiro ; Fujiwaki, Yasuhiro ; Fukuzawa, Hideya ; Hase, Misa ; Hayakawa, Takeshi ; Hiramatsu, Kotaro ; Hoshino, Yu ; Inaba, Mary ; Ito, Takuro ; Karakawa, Hiroshi ; Kasai, Yusuke ; Koizumi, Kenichi ; Lee, SangWook ; Lei, Cheng ; Li, Ming ; Maeno, Takanori ; Matsusaka, Satoshi ; Murakami, Daichi ; Nakagawa, Atsuhiro ; Oguchi, Yusuke ; Oikawa, Minoru ; Ota, Tadataka ; Shiba, Kiyotaka ; Shintaku, Hirofumi ; Shirasaki, Yoshitaka ; Suga, Kanako ; Suzuki, Yuta ; Suzuki, Nobutake ; Tanaka, Yo ; Tezuka, Hiroshi ; Toyokawa, Chihana ; Yalikun, Yaxiaer ; Yamada, Makoto ; Yamagishi, Mai ; Yamano, Takashi ; Yasumoto, Atsushi ; Yatomi, Yutaka ; Yazawa, Masayuki ; Di Carlo, Dino ; Hosokawa, Yoichiroh ; Uemura, Sotaro ; Ozeki, Yasuyuki ; Goda, Keisuke

Cell, 2018-09, Vol.175 (1), p.266-276.e13 [Periódico revisado por pares]

United States: Elsevier Inc

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8
Radiomics: Data Are Also Images
Radiomics: Data Are Also Images
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Radiomics: Data Are Also Images

Hatt, Mathieu ; Le Rest, Catherine Cheze ; Tixier, Florent ; Badic, Bogdan ; Schick, Ulrike ; Visvikis, Dimitris

Journal of Nuclear Medicine, 2019-09, Vol.60 (Suppl 2), p.38S-44S [Periódico revisado por pares]

United States: Society of Nuclear Medicine

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9
Deep Learning-Generated Synthetic MR Imaging STIR Spine Images Are Superior in Image Quality and Diagnostically Equivalent to Conventional STIR: A Multicenter, Multireader Trial
Deep Learning-Generated Synthetic MR Imaging STIR Spine Images Are Superior in Image Quality and Diagnostically Equivalent to Conventional STIR: A Multicenter, Multireader Trial
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Deep Learning-Generated Synthetic MR Imaging STIR Spine Images Are Superior in Image Quality and Diagnostically Equivalent to Conventional STIR: A Multicenter, Multireader Trial

Tanenbaum, L N ; Bash, S C ; Zaharchuk, G ; Shankaranarayanan, A ; Chamberlain, R ; Wintermark, M ; Beaulieu, C ; Novick, M ; Wang, L

American journal of neuroradiology : AJNR, 2023-08, Vol.44 (8), p.987-993 [Periódico revisado por pares]

United States

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10
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
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The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Zwanenburg, Alex ; Vallières, Martin ; Abdalah, Mahmoud A ; Aerts, Hugo J W L ; Andrearczyk, Vincent ; Apte, Aditya ; Ashrafinia, Saeed ; Bakas, Spyridon ; Beukinga, Roelof J ; Boellaard, Ronald ; Bogowicz, Marta ; Boldrini, Luca ; Buvat, Irène ; Cook, Gary J R ; Davatzikos, Christos ; Depeursinge, Adrien ; Desseroit, Marie-Charlotte ; Dinapoli, Nicola ; Dinh, Cuong Viet ; Echegaray, Sebastian ; El Naqa, Issam ; Fedorov, Andriy Y ; Gatta, Roberto ; Gillies, Robert J ; Goh, Vicky ; Götz, Michael ; Guckenberger, Matthias ; Ha, Sung Min ; Hatt, Mathieu ; Isensee, Fabian ; Lambin, Philippe ; Leger, Stefan ; Leijenaar, Ralph T H ; Lenkowicz, Jacopo ; Lippert, Fiona ; Losnegård, Are ; Maier-Hein, Klaus H ; Morin, Olivier ; Müller, Henning ; Napel, Sandy ; Nioche, Christophe ; Orlhac, Fanny ; Pati, Sarthak ; Pfaehler, Elisabeth A G ; Rahmim, Arman ; Rao, Arvind U K ; Scherer, Jonas ; Siddique, Muhammad Musib ; Sijtsema, Nanna M ; Socarras Fernandez, Jairo ; Spezi, Emiliano ; Steenbakkers, Roel J H M ; Tanadini-Lang, Stephanie ; Thorwarth, Daniela ; Troost, Esther G C ; Upadhaya, Taman ; Valentini, Vincenzo ; van Dijk, Lisanne V ; van Griethuysen, Joost ; van Velden, Floris H P ; Whybra, Philip ; Richter, Christian ; Löck, Steffen

Radiology, 2020-05, Vol.295 (2), p.328-338 [Periódico revisado por pares]

United States: Radiological Society of North America

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