Five papers by Zhipeng, Shogo, Taiguang, Tianyi, and Chen have been accepted by RSNA 2024
Five papers by Zhipeng Deng, Shogo Kodera, and our almuni, Taiguang Yuan, Tianyi Qu, and Chen Zhang have been accepted by 110th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024), known as the top clinical conference in medical imaging field, to be held in Chicago, USA, December 1-5, 2024.
Conglaturations!
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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