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Deep learning algorithms for automated detection of Crohn’s disease ulcers by video capsule endoscopy
Klang, Eyal, Barash, Yiftach, Margalit, Reuma Yehuda, Soffer, Shelly, Shimon, Orit, Albshesh, Ahmad, Ben-Horin, Shomron, Amitai, Marianne Michal, Eliakim, Rami, Kopylov, Uri
Published in Gastrointestinal endoscopy (01.03.2020)
Published in Gastrointestinal endoscopy (01.03.2020)
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Journal Article
Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm
Han, Seung Seog, Kim, Myoung Shin, Lim, Woohyung, Park, Gyeong Hun, Park, Ilwoo, Chang, Sung Eun
Published in Journal of investigative dermatology (01.07.2018)
Published in Journal of investigative dermatology (01.07.2018)
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Journal Article
A machine learning algorithm supports ultrasound-naïve novices in the acquisition of diagnostic echocardiography loops and provides accurate estimation of LVEF
Schneider, Matthias, Bartko, Philipp, Geller, Welf, Dannenberg, Varius, König, Andreas, Binder, Christina, Goliasch, Georg, Hengstenberg, Christian, Binder, Thomas
Published in International journal of cardiac imaging (01.02.2021)
Published in International journal of cardiac imaging (01.02.2021)
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Journal Article
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Ehteshami Bejnordi, Babak, Veta, Mitko, Johannes van Diest, Paul, van Ginneken, Bram, Karssemeijer, Nico, Litjens, Geert, van der Laak, Jeroen A. W. M, Hermsen, Meyke, Manson, Quirine F, Balkenhol, Maschenka, Geessink, Oscar, Stathonikos, Nikolaos, van Dijk, Marcory CRF, Bult, Peter, Beca, Francisco, Beck, Andrew H, Wang, Dayong, Khosla, Aditya, Gargeya, Rishab, Irshad, Humayun, Zhong, Aoxiao, Dou, Qi, Li, Quanzheng, Chen, Hao, Lin, Huang-Jing, Heng, Pheng-Ann, Haß, Christian, Bruni, Elia, Wong, Quincy, Halici, Ugur, Öner, Mustafa Ümit, Cetin-Atalay, Rengul, Berseth, Matt, Khvatkov, Vitali, Vylegzhanin, Alexei, Kraus, Oren, Shaban, Muhammad, Rajpoot, Nasir, Awan, Ruqayya, Sirinukunwattana, Korsuk, Qaiser, Talha, Tsang, Yee-Wah, Tellez, David, Annuscheit, Jonas, Hufnagl, Peter, Valkonen, Mira, Kartasalo, Kimmo, Latonen, Leena, Ruusuvuori, Pekka, Liimatainen, Kaisa, Albarqouni, Shadi, Mungal, Bharti, George, Ami, Demirci, Stefanie, Navab, Nassir, Watanabe, Seiryo, Seno, Shigeto, Takenaka, Yoichi, Matsuda, Hideo, Ahmady Phoulady, Hady, Kovalev, Vassili, Kalinovsky, Alexander, Liauchuk, Vitali, Bueno, Gloria, Fernandez-Carrobles, M. Milagro, Serrano, Ismael, Deniz, Oscar, Racoceanu, Daniel, Venâncio, Rui
Published in JAMA : the journal of the American Medical Association (12.12.2017)
Published in JAMA : the journal of the American Medical Association (12.12.2017)
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Journal Article
Machine-learning-based diagnostics of EEG pathology
Gemein, Lukas A.W., Schirrmeister, Robin T., Chrabąszcz, Patryk, Wilson, Daniel, Boedecker, Joschka, Schulze-Bonhage, Andreas, Hutter, Frank, Ball, Tonio
Published in NeuroImage (Orlando, Fla.) (15.10.2020)
Published in NeuroImage (Orlando, Fla.) (15.10.2020)
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Journal Article
Visualizing Preosteoarthritis: Updates on UTE‐Based Compositional MRI and Deep Learning Algorithms
Sun, Dong, Wu, Gang, Zhang, Wei, Gharaibeh, Nadeer M., Li, Xiaoming
Published in Journal of magnetic resonance imaging (01.07.2025)
Published in Journal of magnetic resonance imaging (01.07.2025)
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Journal Article
Pathology Image Analysis Using Segmentation Deep Learning Algorithms
Wang, Shidan, Yang, Donghan M., Rong, Ruichen, Zhan, Xiaowei, Xiao, Guanghua
Published in The American journal of pathology (01.09.2019)
Published in The American journal of pathology (01.09.2019)
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Journal Article
Deep learning algorithm detection of Barrett’s neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video)
de Groof, Albert J., Struyvenberg, Maarten R., Fockens, Kiki N., van der Putten, Joost, van der Sommen, Fons, Boers, Tim G., Zinger, Sveta, Bisschops, Raf, de With, Peter H., Pouw, Roos E., Curvers, Wouter L., Schoon, Erik J., Bergman, Jacques J.G. H.M.
Published in Gastrointestinal endoscopy (01.06.2020)
Published in Gastrointestinal endoscopy (01.06.2020)
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Journal Article
Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis
Salvador, Raymond, Radua, Joaquim, Canales-Rodríguez, Erick J., Solanes, Aleix, Sarró, Salvador, Goikolea, José M., Valiente, Alicia, Monté, Gemma C., Natividad, María del Carmen, Guerrero-Pedraza, Amalia, Moro, Noemí, Fernández-Corcuera, Paloma, Amann, Benedikt L., Maristany, Teresa, Vieta, Eduard, McKenna, Peter J., Pomarol-Clotet, Edith
Published in PloS one (20.04.2017)
Published in PloS one (20.04.2017)
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Journal Article
A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance
Joo, Bio, Ahn, Sung Soo, Yoon, Pyeong Ho, Bae, Sohi, Sohn, Beomseok, Lee, Yong Eun, Bae, Jun Ho, Park, Moo Sung, Choi, Hyun Seok, Lee, Seung-Koo
Published in European radiology (01.11.2020)
Published in European radiology (01.11.2020)
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Journal Article
Diagnostic Potential of Imaging Flow Cytometry
Doan, Minh, Vorobjev, Ivan, Rees, Paul, Filby, Andrew, Wolkenhauer, Olaf, Goldfeld, Anne E., Lieberman, Judy, Barteneva, Natasha, Carpenter, Anne E., Hennig, Holger
Published in Trends in biotechnology (Regular ed.) (01.07.2018)
Published in Trends in biotechnology (Regular ed.) (01.07.2018)
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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
Scan‐specific robust artificial‐neural‐networks for k‐space interpolation (RAKI) reconstruction: Database‐free deep learning for fast imaging
Akçakaya, Mehmet, Moeller, Steen, Weingärtner, Sebastian, Uğurbil, Kâmil
Published in Magnetic resonance in medicine (01.01.2019)
Published in Magnetic resonance in medicine (01.01.2019)
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Journal Article
Brain Tumor Classification Using Fine-Tuned GoogLeNet Features and Machine Learning Algorithms: IoMT Enabled CAD System
Sekhar, Ardhendu, Biswas, Soumen, Hazra, Ranjay, Sunaniya, Arun Kumar, Mukherjee, Amrit, Yang, Lixia
Published in IEEE journal of biomedical and health informatics (01.03.2022)
Published in IEEE journal of biomedical and health informatics (01.03.2022)
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Journal Article
Radiogenomics of lower-grade gliomas: machine learning–based MRI texture analysis for predicting 1p/19q codeletion status
Kocak, Burak, Durmaz, Emine Sebnem, Ates, Ece, Sel, Ipek, Turgut Gunes, Saime, Kaya, Ozlem Korkmaz, Zeynalova, Amalya, Kilickesmez, Ozgur
Published in European radiology (01.02.2020)
Published in European radiology (01.02.2020)
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Journal Article
Development of a Machine-Learning Algorithm to Identify Cauda Equina Compression on Magnetic Resonance Imaging Scans
Biswas, Sayan, Sarkar, Ved, MacArthur, Joshua Ian, Guo, Li, Deng, Xutao, Snowdon, Ella, Ahmed, Hamza, Tetlow, Callum, George, K. Joshi
Published in World neurosurgery (01.03.2025)
Published in World neurosurgery (01.03.2025)
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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
Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms
Ma, Mengwei, Liu, Renyi, Wen, Chanjuan, Xu, Weimin, Xu, Zeyuan, Wang, Sina, Wu, Jiefang, Pan, Derun, Zheng, Bowen, Qin, Genggeng, Chen, Weiguo
Published in European radiology (01.03.2022)
Published in European radiology (01.03.2022)
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Journal Article