Zhipeng Deng君、小寺 昇冴君、Taiguang Yuan君、Tianyi Qu君、Chen Zhang君の論文がRSNA 2024にアクセプトされました
Zhipeng Deng君、小寺 昇冴君、卒業生のTaiguang Yuan君、Tianyi Qu君、Chen Zhang君の論文5編が、12月1-5日に米国シカゴで開催される、臨床系医用画像分野のトップカンファレンスである 110th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024) にアクセプトされました。
おめでとう！
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December 2, 2024 (Mon) 12:15-12:45
Scientific Poster Sessions -
2024-SP-10881-RSNA
Deng Z., Jin Z., and Suzuki K.: Dual-domain MTANN for virtual high-dose imaging in digital breast tomosynthesis (DBT)
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December 2, 2024 (Mon) 12:15-12:45
Scientific Poster Sessions -
2024-SP-10964-RSNA
Yuan T., Jin Z., Tokuda Y., Tomiyama N., Naoi Y., and Suzuki K.: Forecast of genetic assessments for tumor response to chemotherapy only with pretherapeutic breast MRI by means of radiogenomic imaging biomarker scheme
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December 3, 2024 (Tue) 15:00-16:00
Science Session -
T7-SSIN03
Zhang C., Jin Z., Hori M., Sofue K., Murakami T., and Suzuki K.: AI-aided diagnostic system providing explanations in LI-RADS language in liver cancer diagnosis using MRI
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December 4, 2024 (Wed) 12:45-13:15
Scientific Poster Sessions -
2024-SP-14971-RSNA
Kodera S., Mohammad C.S., Jin Z., Watadani T., Abe O., and Suzuki K.: Super-efficient AI for lung nodule classification in CT based on small-data massive-training artificial neural network (MTANN)
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December 4, 2024 (Wed) 12:45-13:15
Scientific Poster Sessions -
2024-SP-16262-RSNA
Qu T., Yang Y., Jin Z., and Suzuki K.: Annotation-free AI learning of lung nodule segmentation in CT using weakly-supervised Massive -training Artificial neural networks