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Deep learning–based algorithm improved radiologists’ performance in bone metastases detection on CT
Noguchi, Shunjiro, Nishio, Mizuho, Sakamoto, Ryo, Yakami, Masahiro, Fujimoto, Koji, Emoto, Yutaka, Kubo, Takeshi, Iizuka, Yoshio, Nakagomi, Keita, Miyasa, Kazuhiro, Satoh, Kiyohide, Nakamoto, Yuji
Published in European radiology (01.11.2022)
Published in European radiology (01.11.2022)
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Journal Article
Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs
Hwang, Eui Jin, Park, Sunggyun, Jin, Kwang-Nam, Kim, Jung Im, Choi, So Young, Lee, Jong Hyuk, Goo, Jin Mo, Aum, Jaehong, Yim, Jae-Joon, Cohen, Julien G., Ferretti, Gilbert R., Park, Chang Min
Published in JAMA network open (01.03.2019)
Published in JAMA network open (01.03.2019)
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Journal Article
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study
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)
Published in The lancet oncology (01.07.2019)
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Journal Article
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Gulshan, Varun, Peng, Lily, Coram, Marc, Stumpe, Martin C, Wu, Derek, Narayanaswamy, Arunachalam, Venugopalan, Subhashini, Widner, Kasumi, Madams, Tom, Cuadros, Jorge, Kim, Ramasamy, Raman, Rajiv, Nelson, Philip C, Mega, Jessica L, Webster, Dale R
Published in JAMA : the journal of the American Medical Association (13.12.2016)
Published in JAMA : the journal of the American Medical Association (13.12.2016)
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Journal Article
Improvement of the diagnostic accuracy for intracranial haemorrhage using deep learning–based computer-assisted detection
Watanabe, Yoshiyuki, Tanaka, Takahiro, Nishida, Atsushi, Takahashi, Hiroto, Fujiwara, Masahiro, Fujiwara, Takuya, Arisawa, Atsuko, Yano, Hiroki, Tomiyama, Noriyuki, Nakamura, Hajime, Todo, Kenichi, Yoshiya, Kazuhisa
Published in Neuroradiology (01.05.2021)
Published in Neuroradiology (01.05.2021)
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Journal Article
Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set
Cain, Elizabeth Hope, Saha, Ashirbani, Harowicz, Michael R., Marks, Jeffrey R., Marcom, P. Kelly, Mazurowski, Maciej A.
Published in Breast cancer research and treatment (01.01.2019)
Published in Breast cancer research and treatment (01.01.2019)
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Journal Article
Diagnostic performance and image quality of an image-based denoising algorithm applied to radiation dose-reduced CT in diagnosing acute appendicitis
Choi, Hyeon Ui, Cho, Jungheum, Hwang, Jinhee, Lee, Seungjae, Chang, Won, Park, Ji Hoon, Lee, Kyoung Ho
Published in Abdominal imaging (01.06.2024)
Published in Abdominal imaging (01.06.2024)
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Journal Article
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
Rajpurkar, Pranav, Irvin, Jeremy, Ball, Robyn L., Zhu, Kaylie, Yang, Brandon, Mehta, Hershel, Duan, Tony, Ding, Daisy, Bagul, Aarti, Langlotz, Curtis P., Patel, Bhavik N., Yeom, Kristen W., Shpanskaya, Katie, Blankenberg, Francis G., Seekins, Jayne, Amrhein, Timothy J., Mong, David A., Halabi, Safwan S., Zucker, Evan J., Ng, Andrew Y., Lungren, Matthew P.
Published in PLoS medicine (20.11.2018)
Published in PLoS medicine (20.11.2018)
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Journal Article
Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs
Hwang, Eui Jin, Park, Sunggyun, Jin, Kwang-Nam, Kim, Jung Im, Choi, So Young, Lee, Jong Hyuk, Goo, Jin Mo, Aum, Jaehong, Yim, Jae-Joon, Park, Chang Min
Published in Clinical infectious diseases (16.08.2019)
Published in Clinical infectious diseases (16.08.2019)
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Journal Article
X-ray PCB defect automatic diagnosis algorithm based on deep learning and artificial intelligence
Liu, Yaojun, Wang, Ping, Liu, Jingjing, Liu, Chuanyang
Published in Neural computing & applications (01.12.2023)
Published in Neural computing & applications (01.12.2023)
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Journal Article
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization
Nishio, Mizuho, Nishizawa, Mitsuo, Sugiyama, Osamu, Kojima, Ryosuke, Yakami, Masahiro, Kuroda, Tomohiro, Togashi, Kaori
Published in PloS one (19.04.2018)
Published in PloS one (19.04.2018)
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Journal Article
A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer’s disease using resting-state functional network connectivity
Hassanzadeh, Reihaneh, Abrol, Anees, Pearlson, Godfrey, Turner, Jessica A., Calhoun, Vince D.
Published in PloS one (20.05.2024)
Published in PloS one (20.05.2024)
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Journal Article
Machine Learning Based Multi‐Class Classification and Grading of Squamous Cell Carcinoma in Optical Microscopy
Kaniyala Melanthota, Sindhoora, K. U., Spandana, U., Raghavendra, Rai, Sharada, Nayak, Rakshatha, V. Kistenev, Yuri, Shil, Suranjan, Mahato, K. K., Mazumder, Nirmal
Published in Microscopy research and technique (01.11.2025)
Published in Microscopy research and technique (01.11.2025)
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Journal Article
Accuracy and time efficiency of a novel deep learning algorithm for Intracranial Hemorrhage detection in CT Scans
D’Angelo, Tommaso, Bucolo, Giuseppe M., Kamareddine, Tarek, Yel, Ibrahim, Koch, Vitali, Gruenewald, Leon D., Martin, Simon, Alizadeh, Leona S., Mazziotti, Silvio, Blandino, Alfredo, Vogl, Thomas J., Booz, Christian
Published in Radiologia medica (01.10.2024)
Published in Radiologia medica (01.10.2024)
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Journal Article
Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists
Antonelli, Michela, Johnston, Edward W., Dikaios, Nikolaos, Cheung, King K., Sidhu, Harbir S., Appayya, Mrishta B., Giganti, Francesco, Simmons, Lucy A. M., Freeman, Alex, Allen, Clare, Ahmed, Hashim U., Atkinson, David, Ourselin, Sebastien, Punwani, Shonit
Published in European radiology (01.09.2019)
Published in European radiology (01.09.2019)
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Journal Article
Keratinocytic Skin Cancer Detection on the Face Using Region-Based Convolutional Neural Network
Published in JAMA dermatology (Chicago, Ill.)
(01.01.2020)
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Journal Article
Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images
Published in Investigative radiology
(01.10.2019)
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Journal Article