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A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity
Goodman-Meza, David, Rudas, Akos, Chiang, Jeffrey N., Adamson, Paul C., Ebinger, Joseph, Sun, Nancy, Botting, Patrick, Fulcher, Jennifer A., Saab, Faysal G., Brook, Rachel, Eskin, Eleazar, An, Ulzee, Kordi, Misagh, Jew, Brandon, Balliu, Brunilda, Chen, Zeyuan, Hill, Brian L., Rahmani, Elior, Halperin, Eran, Manuel, Vladimir
Published in PloS one (22.09.2020)
Published in PloS one (22.09.2020)
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Journal Article
An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network
Baghdadi, Nadiah A., Malki, Amer, Abdelaliem, Sally F., Magdy Balaha, Hossam, Badawy, Mahmoud, Elhosseini, Mostafa
Published in Computers in biology and medicine (01.05.2022)
Published in Computers in biology and medicine (01.05.2022)
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Journal Article
Optical mesoscopy, machine learning, and computational microscopy enable high information content diagnostic imaging of blood films
Shaw, Michael, Claveau, Rémy, Manescu, Petru, Elmi, Muna, Brown, Biobele J, Scrimgeour, Ross, Kölln, Lisa S, McConnell, Gail, Fernandez‐Reyes, Delmiro
Published in The Journal of pathology (01.09.2021)
Published in The Journal of pathology (01.09.2021)
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Journal Article
A PSO-Based CEGAR Framework for Stochastic Model Checking
Ma, Yan, Cao, Zining, Liu, Yang
Published in International journal of software engineering and knowledge engineering (01.10.2019)
Published in International journal of software engineering and knowledge engineering (01.10.2019)
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Journal Article
eDiVA—Classification and prioritization of pathogenic variants for clinical diagnostics
Bosio, Mattia, Drechsel, Oliver, Rahman, Rubayte, Muyas, Francesc, Rabionet, Raquel, Bezdan, Daniela, Domenech Salgado, Laura, Hor, Hyun, Schott, Jean‐Jacques, Munell, Francina, Colobran, Roger, Macaya, Alfons, Estivill, Xavier, Ossowski, Stephan
Published in Human mutation (01.07.2019)
Published in Human mutation (01.07.2019)
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Journal Article
A novel machine learning model for efficacy prediction of immunotherapy-chemotherapy in NSCLC based on CT radiomics
Li, Chengye, Zhou, Zhifeng, Hou, Lingxian, Hu, Keli, Wu, Zongda, Xie, Yupeng, Ouyang, Jinsheng, Cai, Xueding
Published in Computers in biology and medicine (01.08.2024)
Published in Computers in biology and medicine (01.08.2024)
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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
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