يعرض 1 - 10 نتائج من 60 نتيجة بحث عن '"Stember, Joseph N"', وقت الاستعلام: 0.97s تنقيح النتائج
  1. 1
    تقرير
    Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies

    المؤلفون: McRae-Posani, Bala, Holodny, Andrei, Shalu, Hrithwik, Stember, Joseph N

    مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing

    URL الوصول: http://arxiv.org/abs/2404.08853

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  2. 2
    دورية أكاديمية
    Evolutionary Strategies Enable Systematic and Reliable Uncertainty Quantification: A Proof-of-Concept Pilot Study on Resting-State Functional MRI Language Lateralization

    المؤلفون: Stember, Joseph N.Aff1, IDs10278024011886_cor1, Dishner, Katharine, Jenabi, Mehrnaz, Pasquini, Luca, K Peck, Kyung, Saha, Atin, Shah, Akash, O’Malley, Bernard, Ilica, Ahmet Turan, Kelly, Lori, Arevalo-Perez, Julio, Hatzoglou, Vaios, Holodny, Andrei, Shalu, Hrithwik

    المصدر: Journal of Imaging Informatics in Medicine. :1-11

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  3. 3
    دورية أكاديمية
    Evolutionary Strategies AI Addresses Multiple Technical Challenges in Deep Learning Deployment: Proof-of-Principle Demonstration for Neuroblastoma Brain Metastasis Detection

    المؤلفون: Purkayastha, Subhanik, Shalu, Hrithwik, Gutman, David, Holodny, Andrei, Modak, Shakeel, Basu, Ellen, Kushner, Brian, Kramer, Kim, Haque, Sofia, Stember, Joseph N.Aff1, IDs1027802401165z_cor10

    المصدر: Journal of Imaging Informatics in Medicine. :1-11

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  4. 4
    تقرير
    Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification

    المؤلفون: Stember, Joseph N, Shalu, Hrithwik

    مصطلحات موضوعية: Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence

    URL الوصول: http://arxiv.org/abs/2112.12990

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  5. 5
    كتاب إلكتروني
    Unsupervised Deep Clustering and Reinforcement Learning Can Accurately Segment MRI Brain Tumors with Very Small Training Sets

    المؤلفون: Stember, Joseph N.Aff7, Shalu, HrithwikAff8

    المساهمون: Howlett, Robert J., Series EditorAff1, Jain, Lakhmi C., Series EditorAff2, Thampi, Sabu M., editorAff3, Mukhopadhyay, Jayanta, editorAff4, Paprzycki, Marcin, editorAff5, Li, Kuan-Ching, editorAff6

    المصدر: International Symposium on Intelligent Informatics : Proceedings of ISI 2022. 333:255-270

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  6. 6
    كتاب إلكتروني
    Deep Neuroevolution Squeezes More Out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification

    المؤلفون: Stember, Joseph N.Aff7, Shalu, HrithwikAff8

    المساهمون: Howlett, Robert J., Series EditorAff1, Jain, Lakhmi C., Series EditorAff2, Thampi, Sabu M., editorAff3, Mukhopadhyay, Jayanta, editorAff4, Paprzycki, Marcin, editorAff5, Li, Kuan-Ching, editorAff6

    المصدر: International Symposium on Intelligent Informatics : Proceedings of ISI 2022. 333:153-167

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  7. 7
    دورية أكاديمية
    Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution

    المؤلفون: Stember, Joseph NAff1, IDs10278022007255_cor1, Young, Robert J, Shalu, Hrithwik

    المصدر: Journal of Digital Imaging. 36(2):536-546

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  8. 8
    تقرير
    Reinforcement learning using Deep Q Networks and Q learning accurately localizes brain tumors on MRI with very small training sets

    المؤلفون: Stember, Joseph N, Shalu, Hrithwik

    مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence

    URL الوصول: http://arxiv.org/abs/2010.10763

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  9. 9
    دورية أكاديمية
    Panoramic Dental Reconstruction for Faster Detection of Dental Pathology on Medical Non-dental CT Scans: a Proof of Concept from CT Neck Soft Tissue

    المؤلفون: Stember, Joseph N.Aff1, Moonis, Gul, Silva, Cleber

    المصدر: Journal of Digital Imaging. 34(4):959-966

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  10. 10
    دورية أكاديمية

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