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バイオメディカルAI研究ユニット

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2007.07.26

報道

Our study was featured on AuntMinnie.com

Article on Doshi T., Rusinak D., Halvorsen B., Rockey D. C., Suzuki K., and Dachman A. H.: CT colonography: False-negative interpretations, Radiology, 244: 165-173, 2007 was featured in the article “Careful reading boosts virtual colonoscopy results” on AuntMinnie.com. Read more...

2007.02.07

報道

Our study was reported in Innervision

Report on RSNA Certificate of Merit Award for our exhibit, entitled “Advanced CAD system based on 3D massive-training artificial neural network (MTANN) for detection and classification of lung nodules in CT” by Suzuki K., et al. Innervision 22: 60-61, 2007. Read more...

2006.12.07

報道

Our study was reported in Innervision

Interview on our RSNA paper, entitled “Advanced CAD system based on 3D massive-training artificial neural network (MTANN) for detection and classification of lung nodules in CT” by Suzuki K., at al. Innervision 22: 48, 2006. Read more...

2005.12.07

報道

Our study was featured in the article

Our paper at RSNA, entitled “Improved chest radiographs with rib suppression by means of massive training artificial neural network (MTANN)” by Suzuki K., et al. was included in RSNA 2005 Internet Report, Schering, Inc.

Report on Young Investigator Award for Dr. Suzuki’s study, entit Read more...

2005.02.07

報道

Our study was reported in Innervision

Report on RSNA Research Trainee Prize for our paper, entitled “Separation of ribs and soft tissue in single chest radiographs by means of massive training artificial neural networks” by Suzuki K. Innervision 20: 48, 2005. Read more...

2004.02.07

報道

Our study was reported in Innervision

Report on RSNA Certificate of Merit Award for our exhibit, entitled “Massive training artificial neural network (MTANN): A novel image-processing tool for computer-aided diagnostic schemes in CT and chest radiographs” by Suzuki K., et al. Innervision 19: 47-48, 2004. Read more...

2002.07.15

報道

Our Study was reported on Virtual Press Room at AAPM

Our presentation, entitled “Massive training artificial neural network for reduction of false positives in computerized detection of lung nodules in low-dose CT” by K Suzuki, et al. was reported on Virtual Press Room, The 44th Annual Meeting of American Association for Physicists in Medicine (AAP Read more...

Kenji Suzuki Laboratory

Institute of Innovative Research (IIR)
Tokyo Institute of Technology

Biomedical AI Research Unit