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Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images
Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images
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Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images

Kalra, Shivam ; Tizhoosh, H.R. ; Choi, Charles ; Shah, Sultaan ; Diamandis, Phedias ; Campbell, Clinton J.V. ; Pantanowitz, Liron

Medical image analysis, 2020-10, Vol.65, p.101757-101757, Article 101757 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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2
KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images
KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images
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KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images

Eo, Taejoon ; Jun, Yohan ; Kim, Taeseong ; Jang, Jinseong ; Lee, Ho‐Joon ; Hwang, Dosik

Magnetic resonance in medicine, 2018-11, Vol.80 (5), p.2188-2201 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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3
Automatic multiorgan segmentation in thorax CT images using U‐net‐GAN
Automatic multiorgan segmentation in thorax CT images using U‐net‐GAN
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Automatic multiorgan segmentation in thorax CT images using U‐net‐GAN

Dong, Xue ; Lei, Yang ; Wang, Tonghe ; Thomas, Matthew ; Tang, Leonardo ; Curran, Walter J. ; Liu, Tian ; Yang, Xiaofeng

Medical physics (Lancaster), 2019-05, Vol.46 (5), p.2157-2168 [Periódico revisado por pares]

United States

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4
A Machine Learning–Based Approach to Discrimination of Tauopathies Using [18F]PM‐PBB3 PET Images
A Machine Learning–Based Approach to Discrimination of Tauopathies Using [18F]PM‐PBB3 PET Images
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A Machine Learning–Based Approach to Discrimination of Tauopathies Using [18F]PM‐PBB3 PET Images

Endo, Hironobu ; Tagai, Kenji ; Ono, Maiko ; Ikoma, Yoko ; Oyama, Asaka ; Matsuoka, Kiwamu ; Kokubo, Naomi ; Hirata, Kosei ; Sano, Yasunori ; Oya, Masaki ; Matsumoto, Hideki ; Kurose, Shin ; Seki, Chie ; Shimizu, Hiroshi ; Kakita, Akiyoshi ; Takahata, Keisuke ; Shinotoh, Hitoshi ; Shimada, Hitoshi ; Tokuda, Takahiko ; Kawamura, Kazunori ; Zhang, Ming‐Rong ; Oishi, Kenichi ; Mori, Susumu ; Takado, Yuhei ; Higuchi, Makoto

Movement disorders, 2022-11, Vol.37 (11), p.2236-2246 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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5
A three-dimensional statistical approach to improved image quality for multislice helical CT
A three-dimensional statistical approach to improved image quality for multislice helical CT
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A three-dimensional statistical approach to improved image quality for multislice helical CT

Thibault, Jean-Baptiste ; Sauer, Ken D. ; Bouman, Charles A. ; Hsieh, Jiang

Medical physics (Lancaster), 2007-11, Vol.34 (11), p.4526-4544 [Periódico revisado por pares]

United States: American Association of Physicists in Medicine

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6
Towards task-based assessment of CT performance: System and object MTF across different reconstruction algorithms
Towards task-based assessment of CT performance: System and object MTF across different reconstruction algorithms
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Towards task-based assessment of CT performance: System and object MTF across different reconstruction algorithms

Richard, Samuel ; Husarik, Daniela B. ; Yadava, Girijesh ; Murphy, Simon N. ; Samei, Ehsan

Medical physics (Lancaster), 2012-07, Vol.39 (7), p.4115-4122 [Periódico revisado por pares]

United States: American Association of Physicists in Medicine

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7
Evaluation of thin-slice abdominal DECT using deep-learning image reconstruction in 74 keV virtual monoenergetic images: an image quality comparison
Evaluation of thin-slice abdominal DECT using deep-learning image reconstruction in 74 keV virtual monoenergetic images: an image quality comparison
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Evaluation of thin-slice abdominal DECT using deep-learning image reconstruction in 74 keV virtual monoenergetic images: an image quality comparison

Xu, Jack J. ; Lönn, Lars ; Budtz-Jørgensen, Esben ; Jawad, Samir ; Ulriksen, Peter S. ; Hansen, Kristoffer L.

Abdominal radiology (New York), 2023-04, Vol.48 (4), p.1536-1544 [Periódico revisado por pares]

New York: Springer US

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8
Pre-Training Without Natural Images
Pre-Training Without Natural Images
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Pre-Training Without Natural Images

Kataoka, Hirokatsu ; Okayasu, Kazushige ; Matsumoto, Asato ; Yamagata, Eisuke ; Yamada, Ryosuke ; Inoue, Nakamasa ; Nakamura, Akio ; Satoh, Yutaka

International journal of computer vision, 2022-04, Vol.130 (4), p.990-1007 [Periódico revisado por pares]

New York: Springer US

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9
Deep learning–based MR‐to‐CT synthesis: The influence of varying gradient echo–based MR images as input channels
Deep learning–based MR‐to‐CT synthesis: The influence of varying gradient echo–based MR images as input channels
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Deep learning–based MR‐to‐CT synthesis: The influence of varying gradient echo–based MR images as input channels

Florkow, Mateusz C. ; Zijlstra, Frank ; Willemsen, Koen ; Maspero, Matteo ; Berg, Cornelis A. T. ; Kerkmeijer, Linda G. W. ; Castelein, René M. ; Weinans, Harrie ; Viergever, Max A. ; Stralen, Marijn ; Seevinck, Peter R.

Magnetic resonance in medicine, 2020-04, Vol.83 (4), p.1429-1441 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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10
Generation of synthetic PET images of synaptic density and amyloid from 18F‐FDG images using deep learning
Generation of synthetic PET images of synaptic density and amyloid from 18F‐FDG images using deep learning
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Generation of synthetic PET images of synaptic density and amyloid from 18F‐FDG images using deep learning

Wang, Rui ; Liu, Hui ; Toyonaga, Takuya ; Shi, Luyao ; Wu, Jing ; Onofrey, John Aaron ; Tsai, Yu‐Jung ; Naganawa, Mika ; Ma, Tianyu ; Liu, Yaqiang ; Chen, Ming‐Kai ; Mecca, Adam P. ; O’Dell, Ryan S. ; Dyck, Christopher H. ; Carson, Richard E. ; Liu, Chi

Medical physics (Lancaster), 2021-09, Vol.48 (9), p.5115-5129 [Periódico revisado por pares]

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