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Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study

by Tschandl, Philipp, Codella, Noel, Akay, Bengü Nisa, Argenziano, Giuseppe, Braun, Ralph P, Cabo, Horacio, Gutman, David, Halpern, Allan, Helba, Brian, Hofmann-Wellenhof, Rainer, Lallas, Aimilios, Lapins, Jan, Longo, Caterina, Malvehy, Josep, Marchetti, Michael A, Marghoob, Ashfaq, Menzies, Scott, Oakley, Amanda, Paoli, John, Puig, Susana, Rinner, Christoph, Rosendahl, Cliff, Scope, Alon, Sinz, Christoph, Soyer, H Peter, Thomas, Luc, Zalaudek, Iris, Kittler, Harald
Published in The lancet oncology (01.07.2019)

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Performance analysis of machine learning algorithms and screening formulae for β–thalassemia trait screening of Indian antenatal women

by Das, Reena, Saleh, Sarkaft, Nielsen, Izabela, Kaviraj, Anilava, Sharma, Prashant, Dey, Kartick, Saha, Subrata
Published in International journal of medical informatics (Shannon, Ireland) (01.11.2022)

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Analysis of Bone Scans in Various Tumor Entities Using a Deep-Learning-Based Artificial Neural Network Algorithm—Evaluation of Diagnostic Performance

by Wuestemann, Jan, Hupfeld, Sebastian, Kupitz, Dennis, Genseke, Philipp, Schenke, Simone, Pech, Maciej, Kreissl, Michael C., Grosser, Oliver S.
Published in Cancers (17.09.2020)

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Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance

by Martini, Nicola, Aimo, Alberto, Barison, Andrea, Della Latta, Daniele, Vergaro, Giuseppe, Aquaro, Giovanni Donato, Ripoli, Andrea, Emdin, Michele, Chiappino, Dante
Published in Journal of cardiovascular magnetic resonance (07.12.2020)

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Spectral multi-energy CT texture analysis with machine learning for tissue classification: an investigation using classification of benign parotid tumours as a testing paradigm

by Al Ajmi, Eiman, Forghani, Behzad, Reinhold, Caroline, Bayat, Maryam, Forghani, Reza
Published in European radiology (01.06.2018)

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Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers

by Zhang, Yang, Chen, Jeon-Hor, Lin, Yezhi, Chan, Siwa, Zhou, Jiejie, Chow, Daniel, Chang, Peter, Kwong, Tiffany, Yeh, Dah-Cherng, Wang, Xinxin, Parajuli, Ritesh, Mehta, Rita S., Wang, Meihao, Su, Min-Ying
Published in European radiology (01.04.2021)

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Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning

by Forghani, Reza, Chatterjee, Avishek, Reinhold, Caroline, Pérez-Lara, Almudena, Romero-Sanchez, Griselda, Ueno, Yoshiko, Bayat, Maryam, Alexander, James W. M., Kadi, Lynda, Chankowsky, Jeffrey, Seuntjens, Jan, Forghani, Behzad
Published in European radiology (01.11.2019)

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Feasibility of deep learning algorithm in diagnosing lumbar central canal stenosis using abdominal CT

by Jeon, Yejin, Kim, Bo Ram, Choi, Hyoung In, Lee, Eugene, Kim, Da-Wit, Choi, Boorym, Lee, Joon Woo
Published in Skeletal radiology (01.05.2025)

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Multicenter Validation of a Deep Learning Detection Algorithm for Focal Cortical Dysplasia

Published in Neurology (19.10.2021)

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Comparison of the Diagnostic Performance of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve in Patients With Versus Without Diabetes Mellitus (from the MACHINE Consortium)

by Nous, Fay M.A., Coenen, Adriaan, Boersma, Eric, Kim, Young-Hak, Kruk, Mariusz B.P., Tesche, Christian, de Geer, Jakob, Yang, Dong Hyun, Kepka, Cezary, Schoepf, U. Joseph, Persson, Anders, Kurata, Akira, Budde, Ricardo P.J., Nieman, Koen
Published in The American journal of cardiology (15.02.2019)

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A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence Tomography

Published in JAMA ophthalmology (01.11.2023)

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Performance of Qure.ai automatic classifiers against a large annotated database of patients with diverse forms of tuberculosis

by Engle, Eric, Gabrielian, Andrei, Long, Alyssa, Hurt, Darrell E., Rosenthal, Alex
Published in PloS one (24.01.2020)

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Functional connectivity of white matter as a biomarker of cognitive decline in Alzheimer’s disease

by Gao, Yurui, Sengupta, Anirban, Li, Muwei, Zu, Zhongliang, Rogers, Baxter P., Anderson, Adam W., Ding, Zhaohua, Gore, John C.
Published in PloS one (16.10.2020)

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Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study

by Monteiro, Miguel, Newcombe, Virginia F J, Mathieu, Francois, Adatia, Krishma, Kamnitsas, Konstantinos, Ferrante, Enzo, Das, Tilak, Whitehouse, Daniel, Rueckert, Daniel, Menon, David K, Glocker, Ben
Published in The Lancet. Digital health (01.06.2020)

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Application of a deep learning algorithm for three-dimensional T1-weighted gradient-echo imaging of gadoxetic acid-enhanced MRI in patients at a high risk of hepatocellular carcinoma

by Kim, Jae Hyun, Yoon, Jeong Hee, Kim, Se Woo, Park, Junghoan, Bae, Seong Hwan, Lee, Jeong Min
Published in Abdominal imaging (01.03.2024)

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Lung Cancer Classification and Prediction Using Machine Learning and Image Processing

by Nageswaran, Sharmila, Arunkumar, G., Bisht, Anil Kumar, Mewada, Shivlal, Kumar, J. N. V. R. Swarup, Jawarneh, Malik, Asenso, Evans
Published in BioMed research international (2022)

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Application of Machine Learning Techniques for Clinical Predictive Modeling: A Cross-Sectional Study on Nonalcoholic Fatty Liver Disease in China

by Yu, Chaohui, Shen, Zhe, Li, Youming, Ma, Han, Li, You-ming
Published in BioMed research international (01.01.2018)

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Study on microwave ablation temperature prediction model based on grayscale ultrasound texture and machine learning

by Xiong, Yan, Zheng, Yi, Long, Wei, Wang, Yuxin, Wang, Qin, You, Yi, Zhou, Yuheng, Zhong, Jiang, Ge, Yunxi, Li, Youchen, Huang, Yan, Zhou, Zhiyong
Published in PloS one (25.09.2024)

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Image recognition of rice leaf diseases using atrous convolutional neural network and improved transfer learning algorithm

by Lu, Yang, Tao, Xianpeng, Jiang, Feng, Du, Jiaojiao, Li, Gongfa, Liu, Yurong
Published in Multimedia tools and applications (01.02.2024)

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Covid-19 Automated Diagnosis and Risk Assessment through Metabolomics and Machine Learning

by Delafiori, Jeany, Navarro, Luiz Cláudio, Siciliano, Rinaldo Focaccia, de Melo, Gisely Cardoso, Busanello, Estela Natacha Brandt, Nicolau, José Carlos, Sales, Geovana Manzan, de Oliveira, Arthur Noin, Val, Fernando Fonseca Almeida, de Oliveira, Diogo Noin, Eguti, Adriana, dos Santos, Luiz Augusto, Dalçóquio, Talia Falcão, Bertolin, Adriadne Justi, Abreu-Netto, Rebeca Linhares, Salsoso, Rocio, Baía-da-Silva, Djane, Marcondes-Braga, Fabiana G, Sampaio, Vanderson Souza, Judice, Carla Cristina, Costa, Fabio Trindade Maranhão, Durán, Nelson, Perroud, Mauricio Wesley, Sabino, Ester Cerdeira, Lacerda, Marcus Vinicius Guimarães, Reis, Leonardo Oliveira, Fávaro, Wagner José, Monteiro, Wuelton Marcelo, Rocha, Anderson Rezende, Catharino, Rodrigo Ramos
Published in Analytical chemistry (Washington) (02.02.2021)

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