Dermatologist-level classification of skin cancer with deep neural networks
Esteva, Andre, Kuprel, Brett, Novoa, Roberto A., Ko, Justin, Swetter, Susan M., Blau, Helen M., Thrun, Sebastian·2017·Nature
Cited by (1,225)
Items 301–400 of 1,225
- Does Machine Translation Affect International Trade? Evidence from a Large Digital PlatformBrynjolfsson, Erik, Hui, Xiang, Liu, Meng · 2019 · Management Science
- Automated pavement crack detection and segmentation based on two-step convolutional neural networkJingwei Liu, Xu Yang, Stephen Lau, Xin Wang, Sang Luo, Vincent C. S. Lee, Ling Ding · 2020 · Computer-Aided Civil and Infrastructure Engineering
- The Application of Deep Learning in Cancer Prognosis PredictionWan Zhu, Longxiang Xie, Jianye Han, Xiangqian Guo · 2020 · Cancers
- Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic studySui Peng, Yihao Liu, Weiming Lv, Longzhong Liu, Qian Zhou, Hong Yang, Jie Ren, Guangjian Liu, Xiaodong Wang, Xuehua Zhang et al. · 2021 · The Lancet Digital Health
- Deep learning in mental health outcome research: a scoping reviewSu, Chang, Xu, Zhenxing, Pathak, Jyotishman, Wang, Fei · 2020 · Translational Psychiatry
- Accelerating Federated Learning via Momentum Gradient DescentLiu, Wei, Chen, Li, Chen, Yunfei, Zhang, Wenyi · 2020 · IEEE Transactions on Parallel and Distributed Systems
- Computer-aided detection in chest radiography based on artificial intelligence: a surveyChunli Qin, Demin Yao, Yonghong Shi, Zhijian Song · 2018 · BioMedical Engineering OnLine
- Classification of skin lesions using transfer learning and augmentation with Alex-netKhalid Mohamed Hosny, Mohamed A. A. Kassem, Mohamed M. Foaud · 2019 · PLoS ONE
- Deep learning for real-time gravitational wave detection and parameter estimation: results with advanced LIGO dataGeorge, Daniel, Huerta, E.A. · 2018 · Physics Letters B
- Artificial intelligence for diabetic retinopathy screening: a reviewGrzybowski, Andrzej, Brona, Piotr, Lim, Gilbert, Ruamviboonsuk, Paisan, Tan, Gavin S. W., Abramoff, Michael, Ting, Daniel S. W. · 2020 · Eye
- Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural NetworksDong Liang, Jing Cheng, Ziwen Ke, Leslie L. Ying · 2020 · IEEE Signal Processing Magazine
- Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic ReviewShen, Jiayi, Zhang, Casper J P, Jiang, Bangsheng, Chen, Jiebin, Song, Jian, Liu, Zherui, He, Zonglin, Wong, Sum Yi, Fang, Po-Han, Ming, Wai-Kit · 2019 · JMIR Medical Informatics
- Medical artificial intelligence readiness scale for medical students (MAIRS-MS)–development, validity and reliability studyKaraca, Ozan, Çalışkan, S. Ayhan, Demir, Kadir · 2021 · BMC Medical Education
- NoScope: optimizing neural network queries over video at scaleKang, Daniel, Emmons, John, Abuzaid, Firas, Bailis, Peter, Zaharia, Matei · 2017 · Proceedings of the VLDB Endowment
- A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy WorkshopLanglotz, Curtis P., Allen, Bibb, Erickson, Bradley J., Kalpathy-Cramer, Jayashree, Bigelow, Keith, Cook, Tessa S., Flanders, Adam E., Lungren, Matthew P., Mendelson, David S., Rudie, Jeffrey D. et al. · 2019 · Radiology
- Deep Learning in Medical ImagingMingyu Kim, Jihye Yun, Yongwon Cho, Keewon Shin, Ryoungwoo Jang, Hyun‐Jin Bae, Namkug Kim · 2019 · Neurospine
- Association between surgical skin markings in dermoscopic images and diagnostic performance of a deep learning convolutional neural network for melanoma recognitionWinkler, Julia K., Fink, Christine, Toberer, Ferdinand, Enk, Alexander, Deinlein, Teresa, Hofmann-Wellenhof, Rainer, Thomas, Luc, Lallas, Aimilios, Blum, Andreas, Stolz, Wilhelm et al. · 2019 · JAMA Dermatology
- Large-scale pancreatic cancer detection via non-contrast CT and deep learningCao, Kai, Xia, Yingda, Yao, Jiawen, Han, Xu, Lambert, Lukas, Zhang, Tingting, Tang, Wei, Jin, Gang, Jiang, Hui, Fang, Xu et al. · 2023 · Nature Medicine
- Spectral-Domain OCT Measurements in Alzheimer’s DiseaseVictor T.T. Chan, Zihan Sun, Shumin Tang, Li Jia Chen, Adrian Wong, Clement Chee Yung Tham, Tien Yin Wong, Christopher Chen, M. Kamran Ikram, Heather Elizabeth Whitson et al. · 2018 · Ophthalmology
- Precision medicine in the era of artificial intelligence: implications in chronic disease managementSubramanian, Murugan, Wojtusciszyn, Anne, Favre, Lucie, Boughorbel, Sabri, Shan, Jingxuan, Letaief, Khaled B., Pitteloud, Nelly, Chouchane, Lotfi · 2020 · Journal of Translational Medicine
- Towards multi-modal causability with graph neural networks enabling information fusion for explainable aiHolzinger, Andreas, Malle, Bernd, Saranti, Anna, Pfeifer, Bastian · 2021 · Information Fusion
- Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECTJulián Betancur, Frédéric Commandeur, M Esmaeili Motlagh, Tali Sharir, Andrew Jeffrey Einstein, Sabahat Bokhari, Mathews B. Fish, Terrence David Ruddy, Philipp Antonio Kaufmann, Albert J. Sinusas et al. · 2018 · JACC. Cardiovascular imaging
- Machine learning applications in epilepsyBardia Abbasi, Daniel M. Goldenholz · 2019 · Epilepsia
- Distributed deep learning networks among institutions for medical imagingChang, Ken, Balachandar, Niranjan, Lam, Carson, Yi, Darvin, Brown, James, Beers, Andrew, Rosen, Bruce, Rubin, Daniel L, Kalpathy-Cramer, Jayashree · 2018 · Journal of the American Medical Informatics Association
- A deep learning algorithm to predict risk of pancreatic cancer from disease trajectoriesPlacido, Davide, Yuan, Bo, Hjaltelin, Jessica X., Zheng, Chunlei, Haue, Amalie D., Chmura, Piotr J., Yuan, Chen, Kim, Jihye, Umeton, Renato, Antell, Gregory et al. · 2023 · Nature Medicine
- What is AI? Applications of artificial intelligence to dermatologyDu‐Harpur, X., Watt, F.M., Luscombe, N.M., Lynch, M.D. · 2020 · British Journal of Dermatology
- Superior skin cancer classification by the combination of human and artificial intelligenceAchim Hekler, Jochen Sven Utikal, Alexander Heinrich Enk, Axel Hauschild, Michael Weichenthal, Roman C. Maron, Carola Berking, Sebastian Haferkamp, Joachim Klode, Dirk Schadendorf et al. · 2019 · European Journal of Cancer
- Multiscale Modeling Meets Machine Learning: What Can We Learn?Grace C. Y. Peng, Mark Alber, Adrián Buganza Tepole, William R. Cannon, Suvranu De, Salvador Durá-Bernal, Krishna Garikipati, George Em Karniadakis, William W. Lytton, Paris G. Perdikaris et al. · 2020 · Archives of Computational Methods in Engineering
- Breast cancer histopathological image classification using a hybrid deep neural networkRui Yan, Fei Ren, Zihao Wang, Lihua Wang, Tong Zhang, Yudong Liu, Xiaosong Rao, Chun-Hou Zheng, Fa Zhang · 2019 · Methods
- Social Media– and Internet-Based Disease Surveillance for Public HealthAllison E. Aiello, Audrey Renson, Paul N. Zivich · 2020 · Annual Review of Public Health
- Causality matters in medical imagingCastro, Daniel C., Walker, Ian, Glocker, Ben · 2020 · Nature Communications
- Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures EngineeringDimiduk, Dennis M., Holm, Elizabeth A., Niezgoda, Stephen R. · 2018 · Integrating Materials and Manufacturing Innovation
- DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus PhotographsYifan Peng, Shazia Dharssi, Qingyu Chen, Tiarnán D L Keenan, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu · 2018 · Ophthalmology
- A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT imagesZhiming Cui, Yu Fang, Lanzhuju Mei, Bojun Zhang, Bo Yu, Jiameng Liu, Caiwen Jiang, Yuhang Sun, Lei Ma, Jiawei Huang et al. · 2022 · Nature Communications
- Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networksLing‐Ping Cen, Jie Ji, Jianwei Lin, Si-Tong Ju, Hong-Jie Lin, Tai-Ping Li, Yun Wang, Jian-Feng Yang, Yu-Fen Liu, Shaoying Tan et al. · 2021 · Nature Communications
- Efficient Pneumonia Detection in Chest Xray Images Using Deep Transfer LearningMohammad Farukh Hashmi, Satyarth Katiyar, Avinash G. Keskar, Neeraj Dhanraj Bokde, Zong Woo Geem · 2020 · Diagnostics
- An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosisChen, Po-Hsuan Cameron, Gadepalli, Krishna, MacDonald, Robert, Liu, Yun, Kadowaki, Shiro, Nagpal, Kunal, Kohlberger, Timo, Dean, Jeffrey, Corrado, Greg S., Hipp, Jason D. et al. · 2019 · Nature Medicine
- Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS)Fan, Wenjuan, Liu, Jingnan, Zhu, Shuwan, Pardalos, Panos M. · 2020 · Annals of Operations Research
- Rethinking the performance comparison between SNNS and ANNSLei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie · 2019 · Neural Networks
- The role of artificial intelligence in precision medicineMesko, Bertalan · 2017 · Expert Review of Precision Medicine and Drug Development
- Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approachZhang, Bo, Shi, Huiping, Wang, Hongtao · 2023 · Journal of Multidisciplinary Healthcare
- Machine Learning and the Future of Cardiovascular CareGiorgio Quer, Ramy Arnaout, Michael Henne, Rima Arnaout · 2021 · Journal of the American College of Cardiology
- Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial LossQi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng‐Ann Heng · 2018 · International Joint Conference on Artificial Intelligence
- Assessing the trustworthiness of saliency maps for localizing abnormalities in medical imagingArun, Nishanth, Gaw, Nathan, Singh, Praveer, Chang, Ken, Aggarwal, Mehak, Chen, Bryan, Hoebel, Katharina, Gupta, Sharut, Patel, Jay, Gidwani, Mishka et al. · 2021 · Radiology: Artificial Intelligence
- Understanding, explaining, and utilizing medical artificial intelligenceCadario, Romain, Longoni, Chiara, Morewedge, Carey K. · 2021 · Nature Human Behaviour
- Evaluation of artificial intelligence for detecting periapical pathosis on cone‐beam computed tomography scansKaan Orhan, İbrahim Şevki Bayrakdar, Matvey Ezhov, Alexander Kravtsov, Taha Özyürek · 2020 · International Endodontic Journal
- Attention Gate ResU-Net for Automatic MRI Brain Tumor SegmentationJianxin Zhang, Zongkang Jiang, Jing Dong, Yaqing Hou, Bin Liu · 2020 · IEEE Access
- Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology ImagesKhosravi, Pegah, Kazemi, Ehsan, Imielinski, Marcin, Elemento, Olivier, Hajirasouliha, Iman · 2018 · EBioMedicine
- Radimagenet: an open Radiologic deep learning research Dataset for effective transfer learningMei, Xueyan, Liu, Zelong, Robson, Philip M., Marinelli, Brett, Huang, Mingqian, Doshi, Amish, Jacobi, Adam, Cao, Chendi, Link, Katherine E., Yang, Thomas et al. · 2022 · Radiology Artificial Intelligence
- Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion SegmentationMohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R.G. Guttmann, Frank‐Erik de Leeuw, Clare M. Tempany, Bram van Ginneken et al. · 2017 · Lecture notes in computer science
- From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and OpportunitiesParnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Anastasia Oikonomou, Habib Benali · 2019 · IEEE Signal Processing Magazine
- Models GenesisZongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang · 2020 · Medical Image Analysis
- Device Placement Optimization with Reinforcement LearningAzalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, J. Dean · 2017 · International Conference on Machine Learning
- A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisabilitySaad Mahmud Khan, Xiaoxuan Liu, Siddharth Nath, Edward Korot, Livia Faes, Siegfried K. Wagner, Pearse Andrew Keane, Neil James Sebire, Matthew J. Burton, Alastair Keith Denniston · 2020 · The Lancet Digital Health
- The Role of Artificial Intelligence in Early Cancer DiagnosisBenjamin Hunter, Sumeet Hindocha, Richard W. Lee · 2022 · Cancers
- Ethical dimensions of using artificial intelligence in health care2019 · AMA Journal of Ethics
- Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural NetworksPhilipp Tschandl, Cliff O. Rosendahl, Bengü Nisa Akay, Giuseppe Argenziano, Andreas Blum, Ralph Peter Braun, Horacio Cabo, Jean-Yves Gourhant, Jürgen F. Kreusch, Aimilios Lallas et al. · 2018 · JAMA Dermatology
- Impact of a deep learning assistant on the histopathologic classification of liver cancerKiani, Amirhossein, Uyumazturk, Bora, Rajpurkar, Pranav, Wang, Alex, Gao, Rebecca, Jones, Erik, Yu, Yifan, Langlotz, Curtis P., Ball, Robyn L., Montine, Thomas J. et al. · 2020 · npj Digital Medicine
- Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic imagesMichael Armando Marchetti, Noel Codella, Stephen W. Dusza, David A. Gutman, Brian Helba, Aadi Kalloo, Nabin K. Mishra, Cristina Carrera, M. Emre Celebi, Jennifer DeFazio et al. · 2017 · Journal of the American Academy of Dermatology
- Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic imagesImran Iqbal, Muhammad Younus, Khuram Walayat, Mohib Ullah Kakar, Jinwen Ma · 2020 · Computerized Medical Imaging and Graphics
- Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep LearningMarc Aubreville, Christian Knipfer, Nicolai Oetter, Christian Jaremenko, Erik Rodner, Joachim Denzler, Christopher Bohr, Helmut Neumann, Florian Stelzle, Andreas Maier · 2017 · Scientific Reports
- Multimodal skin lesion classification using deep learningYap, Jordan, Yolland, William, Tschandl, Philipp · 2018 · Experimental Dermatology
- On the Robustness of Semantic Segmentation Models to Adversarial AttacksAnurag Arnab, Ondřej Mikšík, Philip H. S. Torr · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Detecting caries lesions of different radiographic extension on bitewings using deep learningAnselmo García Cantú Ros, Sascha Gehrung, Joachim Krois, Akhilanand Chaurasia, Jesús Gómez Rossi, Robert Gaudin, Karim Elhennawy, Falk Schwendicke · 2020 · Journal of Dentistry
- Research on a Surface Defect Detection Algorithm Based on MobileNet-SSDYiting Li, Haisong Huang, Qingsheng Xie, Liguo Yao, Qipeng Chen · 2018 · Applied Sciences
- Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus PhotographsLiu, Hanruo, Li, Liu, Wormstone, I. Michael, Qiao, Chunyan, Zhang, Chun, Liu, Ping, Li, Shuning, Wang, Huaizhou, Mou, Dapeng, Pang, Ruiqi et al. · 2019 · JAMA Ophthalmology
- Predicting Infectious Disease Using Deep Learning and Big DataSangwon Chae, Sungjun Kwon, Dong-Hyun Lee · 2018 · International Journal of Environmental Research and Public Health
- Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscaleKan Yao, Rohit Unni, Yuebing Zheng · 2018 · Nanophotonics
- Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-artAdekanmi Adeyinka Adegun, Serestina Viriri · 2020 · Artificial Intelligence Review
- A Review of Challenges and Opportunities in Machine Learning for HealthMarzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Irene Y. Chen, Rajesh Ranganath · 2018 · PubMed Central
- Gastroenterologist-Level Identification of Small-Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-Learning ModelZhen Ding, Huiying Shi, Hao Zhang, Lingjun Meng, Mengke Fan, Chaoqun Han, Kun Zhang, Fanhua Ming, Xiaoping Xie, Hao Liu et al. · 2019 · Gastroenterology
- Designing deep learning studies in cancer diagnosticsAndreas Kleppe, Ole-Johan Skrede, Sepp De Raedt, Knut Liestøl, David James Kerr, Havard Emil Danielsen · 2021 · Nature reviews. Cancer
- Deep‐learning‐based, computer‐aided classifier developed with a small dataset of clinical images surpasses board‐certified dermatologists in skin tumour diagnosisYasuhiro Fujisawa, Yasuhiro Otomo, Y. Ogata, Yoshiyuki Nakamura, R. Fujita, Yosuke Ishitsuka, Ryo Watanabe, Naoko Okiyama, K. Ohara, Manabu Fujimoto · 2018 · British Journal of Dermatology
- Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer LearningYang Yang, Lin‐Feng Yan, Xin Zhang, Yu Han, Hai‐Yan Nan, Yu‐Chuan Hu, Bo Hu, Songlin Yan, Jin Zhang, Dong-Liang Cheng et al. · 2018 · Frontiers in Neuroscience
- Expert-level prenatal detection of complex congenital heart disease from screening ultrasound using deep learningArnaout, Rima, Curran, Lara, Zhao, Yili, Levine, Jami C., Chinn, Erin, Moon-Grady, Anita J. · 2020
- Update on Keratinocyte CarcinomasKishwer S. Nehal, Christopher Keram Bichakjian · 2018 · New England Journal of Medicine
- Machine Learning for Surgical Phase RecognitionCarly R. Garrow, Karl‐Friedrich Kowalewski, Linhong Li, Martin Wagner, Mona Wanda Schmidt, Sandy Engelhardt, Daniel A. Hashimoto, Hannes Kenngott, Sebastian Bodenstedt, Stefanie Speidel et al. · 2020 · Annals of Surgery
- Coronavirus (COVID-19) Classification using CT Images by Machine Learning MethodsMücahid Barstuğan, Umut Özkaya, Şaban Öztürk · 2020 · arXiv (Cornell University)
- Deep learning algorithm predicts diabetic retinopathy progression in individual patientsArcadu, Filippo, Benmansour, Fethallah, Maunz, Andreas, Willis, Jeff, Haskova, Zdenka, Prunotto, Marco · 2019 · npj Digital Medicine
- Pathologist-level interpretable whole-slide cancer diagnosis with deep learningZhang, Zizhao, Chen, Pingjun, McGough, Mason, Xing, Fuyong, Wang, Chunbao, Bui, Marilyn, Xie, Yuanpu, Sapkota, Manish, Cui, Lei, Dhillon, Jasreman et al. · 2019 · Nature Machine Intelligence
- Automated identification and grading system of diabetic retinopathy using deep neural networksWei Zhang, Jie Zhong, Shijun Yang, Zhentao Gao, Junjie Hu, Yuanyuan Chen, Yi Zhang · 2019 · Knowledge-Based Systems
- Skin cancer diagnosis based on optimized convolutional neural networkNi Zhang, Yi-Xin Cai, Yong-Yong Wang, Yitao Tian, Xiaoli Wang, Benjamin Badami · 2019 · Artificial Intelligence in Medicine
- Transfer learning using a multi-scale and multi-network ensemble for skin lesion classificationAmirreza Mahbod, Gerald Schaefer, Chunliang Wang, Georg Dorffner, Rupert Ecker, Isabella Ellinger · 2020 · Computer Methods and Programs in Biomedicine
- Literature review: efficient deep neural networks techniques for medical image analysisMohamed A. Abdou · 2022 · Neural Computing and Applications
- Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learningLiyue Shen, Wei Zhao, Lei Xing · 2019 · Nature Biomedical Engineering
- Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in IndiaGulshan, Varun, Rajan, Renu P., Widner, Kasumi, Wu, Derek, Wubbels, Peter, Rhodes, Tyler, Whitehouse, Kira, Coram, Marc, Corrado, Greg, Ramasamy, Kim et al. · 2019 · JAMA Ophthalmology
- DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural NetworksChen, Huili, Fu, Cheng, Zhao, Jishen, Koushanfar, Farinaz · 2019 · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
- Making the Most of Text Semantics to Improve Biomedical Vision-Language ProcessingBoecking, Benedikt, Usuyama, Naoto, Bannur, Shruthi, Castro, Daniel C., Schwaighofer, Anton, Hyland, Stephanie, Wetscherek, Maria, Naumann, Tristan, Nori, Aditya, Alvarez-Valle, Javier et al. · 2022 · Lecture Notes in Computer Science
- A survey on incorporating domain knowledge into deep learning for medical image analysisXiaozheng Xie, Jianwei Niu, Xuefeng Liu, Zhengsu Chen, Shaojie Tang, Shui Yu · 2021 · Medical Image Analysis
- Bad News? Send an AI. Good News? Send a HumanAaron M. Garvey, TaeWoo Kim, Adam Duhachek · 2021 · Journal of Marketing
- Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographsChi‐Tung Cheng, Tsung‐Ying Ho, Tao-Yi Lee, Chih-Chen Chang, Ching-Cheng Chou, Chih-Chi Chen, I‐Fang Chung, Chien‐Hung Liao · 2019 · European Radiology
- Will Humans-in-the-Loop Become Borgs? Merits and Pitfalls of Working with AIAndreas Fügener, Jörn Grahl, Alok Gupta, Wolfgang Ketter · 2021 · MIS Quarterly
- Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal lossPingjun Chen, Linlin Gao, Xiaoshuang Shi, Kyle D. Allen, Lin Yang · 2019 · Computerized Medical Imaging and Graphics
- A Large-Scale Database and a CNN Model for Attention-Based Glaucoma DetectionLiu Li, Mai Xu, Hanruo Liu, Yang Li, Xiaofei Wang, Lai Wei Jiang, Zulin Wang, Xiang Fan, Ningli Wang · 2019 · IEEE Transactions on Medical Imaging
- Survey on deep learning for radiotherapyMeyer, Philippe, Noblet, Vincent, Mazzara, Christophe, Lallement, Alex · 2018 · Computers in Biology and Medicine
- Predicting conversion to wet age-related macular degeneration using deep learningYim, Jason, Chopra, Reena, Spitz, Terry, Winkens, Jim, Obika, Annette, Kelly, Christopher, Askham, Harry, Lukic, Marko, Huemer, Josef, Fasler, Katrin et al. · 2020 · Nature Medicine
- Skin Lesion Classification Using Hybrid Deep Neural NetworksAmirreza Mahbod, Gerald Schaefer, Chunliang Wang, Rupert Ecker, Isabella Ellinger · 2019 · IEEE International Conference on Acoustics Speech and Signal Processing
- Deep Learning Based Analysis of Histopathological Images of Breast CancerJuanying Xie, Ran Liu, Joseph Luttrell, Chaoyang Zhang · 2019 · Frontiers in Genetics
- A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification taskTitus Josef Brinker, Achim Hekler, Alexander Heinrich Enk, Joachim Klode, Axel Hauschild, Carola Berking, Bastian Schilling, Sebastian Haferkamp, Dirk Schadendorf, Stefan Fröhling et al. · 2019 · European Journal of Cancer
- Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural NetworksAnnarumma, Mauro, Withey, Samuel J., Bakewell, Robert J., Pesce, Emanuele, Goh, Vicky, Montana, Giovanni · 2019 · Radiology