鈴木教授が、「深層学習を用いた超低線量CT像の高画質化によるCTの被曝低減」の研究で、科研費（研究活動スタート支援）を獲得しました。 Read more...

鈴木教授のコメントが、 Lancet Respiratory Medicine（インパクトファクター：30.700）の記事「Deep learning poised to revolutionise diagnostic imaging」に掲載されました。 Read more...

7月12日に行われた第2回WRHI講演会で、「Artificial Intelligence in Medical Imaging」と題して鈴木教授の行っている研究についての講演を行いました。 Read more...

5月8日付で鈴木先生は、東京工業大学 科学技術創成研究院に、特任教授として着任いたしました。 Read more...

鈴木教授が、ジャーナルPattern Recognitionの特集号「Machine Learning in Medical Imaging」のゲストエディターを務めます。
このテーマは現在、パターン認識の分野で熱心に研究されており、鈴木教授の専門分野の一つでもあります。 Read more...

Dr. Suzuki has received The 2017 Albert Nelson Marquis Lifetime Achievement Award from Marquis Who’s Who.

This award was given to Dr. Suzuki for his life-time achievements in outstanding contributions with notable publications and his career longevity in the fields of computer engineering Read more...

Dr. Suzuki was invited and named an Associate Editor of the prestigious journal, Pattern Recognition. The journal is the official journal of the Pattern Recognition Society and has been the leading journal in the field of pattern recognition since 1968. Read more...

Dr. Suzuki served as Steering Committee of 7th International Conference on Machine Learning in Medical Imaging (MLMI 2016) in conjunction with MICCAI, Athens, Greece, has successfully finished. Read more...

Dr. Suzuki has received The EANM Springer-Nature Award 2016 – The Most Cited Paper from the European Association of Nuclear Medicine (EANM) and Springer-Nature for the paper, entitled “Prognostic Value of Metabolic Tumor Burden on 18F-FDG PET in Non-Surgical Patients with Non-Small Cell Lun Read more...

Article featuring Dr. Suzuki’s research on machine learning in medical images, “AI to Deliver Tailored Treatment: Digital Healthcare is Coming,” Knowledge & Science section in a newspaper, Joongang Sunday, in Koria. Read more...