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6002.
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Repeatability of radiomics and machine learning for DWI: Short-term repeatability study of 112 patients with prostate cancer. [electronic resource] by
- Merisaari, Harri
- Taimen, Pekka
- Shiradkar, Rakesh
- Ettala, Otto
- Pesola, Marko
- Saunavaara, Jani
- Boström, Peter J
- Madabhushi, Anant
- Aronen, Hannu J
- Jambor, Ivan
Producer: 20210514
In:
Magnetic resonance in medicine vol. 83
Availability: No items available.
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6003.
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Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm. [electronic resource] by
- van der Voort, Sebastian R
- Incekara, Fatih
- Wijnenga, Maarten M J
- Kapas, Georgios
- Gardeniers, Mayke
- Schouten, Joost W
- Starmans, Martijn P A
- Nandoe Tewarie, Rishie
- Lycklama, Geert J
- French, Pim J
- Dubbink, Hendrikus J
- van den Bent, Martin J
- Vincent, Arnaud J P E
- Niessen, Wiro J
- Klein, Stefan
- Smits, Marion
Producer: 20201026
In:
Clinical cancer research : an official journal of the American Association for Cancer Research vol. 25
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6004.
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6005.
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Use of Machine-Learning Algorithms in Intensified Preoperative Therapy of Pancreatic Cancer to Predict Individual Risk of Relapse. [electronic resource] by
- Sala Elarre, Pablo
- Oyaga-Iriarte, Esther
- Yu, Kenneth H
- Baudin, Vicky
- Arbea Moreno, Leire
- Carranza, Omar
- Chopitea Ortega, Ana
- Ponz-Sarvise, Mariano
- Mejías Sosa, Luis D
- Rotellar Sastre, Fernando
- Larrea Leoz, Blanca
- Iragorri Barberena, Yohana
- Subtil Iñigo, Jose C
- Benito Boíllos, Alberto
- Pardo, Fernando
- Rodríguez Rodríguez, Javier
Publication details: Cancers Apr 2019
In:
Cancers vol. 11
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Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning. [electronic resource] by
- Ye, Chengyin
- Fu, Tianyun
- Hao, Shiying
- Zhang, Yan
- Wang, Oliver
- Jin, Bo
- Xia, Minjie
- Liu, Modi
- Zhou, Xin
- Wu, Qian
- Guo, Yanting
- Zhu, Chunqing
- Li, Yu-Ming
- Culver, Devore S
- Alfreds, Shaun T
- Stearns, Frank
- Sylvester, Karl G
- Widen, Eric
- McElhinney, Doff
- Ling, Xuefeng
Producer: 20190419
In:
Journal of medical Internet research vol. 20
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6013.
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6014.
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6015.
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Automated and accurate quantification of subcutaneous and visceral adipose tissue from magnetic resonance imaging based on machine learning. [electronic resource] by
- Shen, Ning
- Li, Xueyan
- Zheng, Shuang
- Zhang, Lei
- Fu, Yu
- Liu, Xiaoming
- Li, Mingyang
- Li, Jiasheng
- Guo, Shuxu
- Zhang, Huimao
Producer: 20200504
In:
Magnetic resonance imaging vol. 64
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6016.
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6017.
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Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock. [electronic resource] by
- Ginestra, Jennifer C
- Giannini, Heather M
- Schweickert, William D
- Meadows, Laurie
- Lynch, Michael J
- Pavan, Kimberly
- Chivers, Corey J
- Draugelis, Michael
- Donnelly, Patrick J
- Fuchs, Barry D
- Umscheid, Craig A
Producer: 20200525
In:
Critical care medicine vol. 47
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6018.
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Real-time analysis of the behaviour of groups of mice via a depth-sensing camera and machine learning. [electronic resource] by
- de Chaumont, Fabrice
- Ey, Elodie
- Torquet, Nicolas
- Lagache, Thibault
- Dallongeville, Stéphane
- Imbert, Albane
- Legou, Thierry
- Le Sourd, Anne-Marie
- Faure, Philippe
- Bourgeron, Thomas
- Olivo-Marin, Jean-Christophe
Producer: 20200309
In:
Nature biomedical engineering vol. 3
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6019.
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6020.
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Theranostic markers for personalized therapy of spider phobia: Methods of a bicentric external cross-validation machine learning approach. [electronic resource] by
- Schwarzmeier, Hanna
- Leehr, Elisabeth Johanna
- Böhnlein, Joscha
- Seeger, Fabian Reinhard
- Roesmann, Kati
- Gathmann, Bettina
- Herrmann, Martin J
- Siminski, Niklas
- Junghöfer, Markus
- Straube, Thomas
- Grotegerd, Dominik
- Dannlowski, Udo
Producer: 20210628
In:
International journal of methods in psychiatric research vol. 29
Availability: No items available.
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