@inproceedings{CTT100862832, author = {Sato M. and Yang Y. and Jin Z. and Suzuki K.}, title = {Segmentation of Liver Tumor in Hepatic CT by Using MTANN Deep Learning with Small Training Dataset Size}, booktitle = {}, year = 2021, } @inproceedings{CTT100862830, author = {Xiang M. and Jin Z. and Suzuki K.}, title = {Massive-Training Artificial Neural Network (MTANN) for Image Quality Improving in Fast-Acquisition MRI of the Knee}, booktitle = {}, year = 2021, } @inproceedings{CTT100862831, author = {Onai Y. and Mahdi F. P. and Jin Z. and Suzuki K.}, title = {Virtual High-Radiation-Dose Image Generation from Low-Radiation-Dose Image in Digital Breast Tomosynthesis (DBT) Using Massive-Training Artificial Neural Network (MTANN)}, booktitle = {}, year = 2021, } @inproceedings{CTT100862829, author = {Xiang M. and Jin Z. and Suzuki K.}, title = {Massive-Training Artificial Neural Network (MTANN) with Special Kernel for Artifact Reduction In Fast-Acquisition MRI of the Knee}, booktitle = {}, year = 2021, } @inproceedings{CTT100862828, author = {Sato M. and Jin Z. and Suzuki K.}, title = {Semantic Segmentation of Liver Tumor in Contrast-enhanced Hepatic CT by Using Deep Learning with Hessian-based Enhancer with Small Training Dataset Size}, booktitle = {}, year = 2021, } @inproceedings{CTT100845006, author = {Xiang M. and Jin Z. and Suzuki K.}, title = {Fast Acquisition MRI of the Knee by Means of Massive-Training Artificial Neural Network (MTANN) with Special Kernel}, booktitle = {}, year = 2021, } @inproceedings{CTT100845008, author = {Onai Y. and Jin Z. and Suzuki K.}, title = {Generation of Virtual High-Radiation-Dose Images from Low-Dose Images in Digital Breast Tomosynthesis (DBT) with Massive-Training Artificial Neural Network (MTANN)}, booktitle = {}, year = 2021, } @inproceedings{CTT100845007, author = {Sato M. and Jin Z. and Suzuki K.}, title = {Small-Training-Set Deep Learning for Semantic Segmentation of Liver Tumors in Contrast-enhanced Hepatic CT}, booktitle = {}, year = 2021, }