Bilaketaren emaitzak - "Deep Learning"

Deep learning algorithms for personalized services and enhanced user experience in libraries: a systematic review / Haziah Sa'ari, Mohd Dasuki Sahak and Stan Skrzeszewskis nork Sa'ari, Haziah, Sahak, Mohd Dasuki, Skrzeszewskis, Stan

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Applied Artificial Neural Networks nork Christian Dawson (Ed.)

Gaiak: “...Deep learning...”
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Encouraging students' engagement and promoting deep learning in immunology through an interactive clinical case problem-solving (CCPS) approach: Perception among cohort of medical students in Oman nork Mohan B Sannathimmappa, Vinod Nambiar, Rajeev Aravindakshan

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Translating prognostic quantification of c-MYC and BCL2 from tissue microarrays to whole slide images in diffuse large B-cell lymphoma using deep learning nork Thomas E. Tavolara, M. Khalid Khan Niazi, Andrew L. Feldman, David L. Jaye, Christopher Flowers, Lee A.D. Cooper, Metin N. Gurcan

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Screening Anti-inflammatory, Anticoagulant, and Respiratory Agents for SARS-CoV-2 3CLpro Inhibition from Chemical Fingerprints Through a Deep Learning Approach nork Elena Caires-Silveira

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Correction: Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer nork Abhishek Mahajan, Gurukrishna B, Shweta Wadhwa, Ujjwal Agarwal, Ujjwal Baid, Sanjay Talbar, Amit Kumar Janu, Vijay Patil, Vanita Noronha, Naveen Mummudi, Anil Tibdewal, JP Agarwal, Subhash Yadav, Rajiv Kumar Kaushal, Ameya Puranik, Nilendu Purandare, Kumar Prabhash

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COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation nork Saranya Sankaranarayanan, Jagadheshwar Balan, Jesse R Walsh, Yanhong Wu, Sara Minnich, Amy Piazza, Collin Osborne, Gavin R Oliver, Jessica Lesko, Kathy L Bates, Kia Khezeli, Darci R Block, Margaret DiGuardo, Justin Kreuter, John C O'Horo, John Kalantari, Eric W Klee, Mohamed E Salama, Benjamin Kipp, William G Morice, Garrett Jenkinson

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Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study nork Kwon, Soonil, Hong, Joonki, Choi, Eue-Keun, Lee, Byunghwan, Baik, Changhyun, Lee, Euijae, Jeong, Eui-Rim, Koo, Bon-Kwon, Oh, Seil, Yi, Yung

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Deep learning-based 2D keypoint detection in alpine ski racing - A performance analysis of state-of-the-art algorithms applied to regular skiing and injury situations nork Michael Zwölfer, Dieter Heinrich, Kurt Schindelwig, Bastian Wandt, Helge Rhodin, Jörg Spörri, Werner Nachbauer

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A deep‐learning workflow to predict upper tract urothelial carcinoma protein‐based subtypes from H&E slides supporting the prioritization of patients for molecular testing nork Miriam Angeloni, Thomas vanDoeveren, Sebastian Lindner, Patrick Volland, Jorina Schmelmer, Sebastian Foersch, Christian Matek, Robert Stoehr, Carol I Geppert, Hendrik Heers, Sven Wach, Helge Taubert, Danijel Sikic, Bernd Wullich, Geert JLH vanLeenders, Vasily Zaburdaev, Markus Eckstein, Arndt Hartmann, Joost L Boormans, Fulvia Ferrazzi, Veronika Bahlinger

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A Fully Automated Analytic System for Measuring Endolymphatic Hydrops Ratios in Patients With Ménière Disease via Magnetic Resonance Imaging: Deep Learning Model Development Study nork Chae Jung Park, Young Sang Cho, Myung Jin Chung, Yi-Kyung Kim, Hyung-Jin Kim, Kyunga Kim, Jae-Wook Ko, Won-Ho Chung, Baek Hwan Cho

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A deep learning model adjusting for infant gender, age, height, and weight to determine whether the individual infant suit ultrasound examination of developmental dysplasia of the hip (DDH) nork Xiaoyi Chen, Shuangshuang Zhang, Wei Shi, Dechao Wu, Bingxuan Huang, Hongwei Tao, Xuezhi He, Na Xu, Na Xu

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PP 6.5 - 00205 Utilization of high-throughput assays and deep-learning for selection of CRISPR/Cas9-gRNA pairs used in an HIV-1 cure strategy nork R. Berman, W. Dampier, A. Atkins, A. Allen, V. Pirrone, S. Passic, A. Ahmed, Z. Szep, M. Nonnemacher, B. Wigdahl

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Rapid identification of chemical profiles in vitro and in vivo of Huan Shao Dan and potential anti-aging metabolites by high-resolution mass spectrometry, sequential metabolism, and deep learning model nork Xueyan Li, Fulu Pan, Lin Wang, Jing Zhang, Xinyu Wang, Dongying Qi, Xiaoyu Chai, Qianqian Wang, Zirong Yi, Yuming Ma, Yanli Pan, Yang Liu, Guopeng Wang

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Evaluation of deep learning and convolutional neural network algorithms accuracy for detecting and predicting anatomical landmarks on 2D lateral cephalometric images: A systematic review and meta-analysis nork Jimmy Londono, Shohreh Ghasemi, Altaf Hussain Shah, Amir Fahimipour, Niloofar Ghadimi, Sara Hashemi, Zohaib Khurshid, Mahmood Dashti

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Use of Health Belief Model-Based Deep Learning Classifiers for COVID-19 Social Media Content to Examine Public Perceptions of Physical Distancing: Model Development and Case Study nork Sesagiri Raamkumar, Aravind, Tan, Soon Guan, Wee, Hwee Lin

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Multi-field-of-view deep learning model predicts nonsmall cell lung cancer programmed death-ligand 1 status from whole-slide hematoxylin and eosin images nork Lingdao Sha, Boleslaw L Osinski, Irvin Y Ho, Timothy L Tan, Caleb Willis, Hannah Weiss, Nike Beaubier, Brett M Mahon, Tim J Taxter, Stephen S F Yip

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Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study nork Lily Wei Yun Yang, Wei Yan Ng, Wei Yan Ng, Xiaofeng Lei, Shaun Chern Yuan Tan, Zhaoran Wang, Ming Yan, Mohan Kashyap Pargi, Xiaoman Zhang, Jane Sujuan Lim, Dinesh Visva Gunasekeran, Dinesh Visva Gunasekeran, Franklin Chee Ping Tan, Chen Ee Lee, Khung Keong Yeo, Hiang Khoon Tan, Henry Sun Sien Ho, Henry Sun Sien Ho, Benedict Wee Bor Tan, Tien Yin Wong, Tien Yin Wong, Tien Yin Wong, Kenneth Yung Chiang Kwek, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting, Daniel Shu Wei Ting

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ANALISIS SENTIMEN TERHADAP LAYANAN INTERNET FIRST MEDIA DI TWITTER DENGAN ALGORITMA DEEP LEARNING STUDI KOMPARASI CONVOLUTIONAL NEURAL NETWORK DAN RECURRENT NEURAL NETWORK nork Titania Emaniar, Tania

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Pathology From Classics to Innovations

Gaiak: “...liquid biopsy, ctdna, cfdna, biomarkers, breast cancer, deep learning...”
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