@inproceedings{CTT100919885,
  author = {Qu T. and Yang Y. and Jin Z. and Suzuki K.},
  title = {Annotation-free AI learning of lung nodule segmentation in CT using weakly-supervised Massive -training Artificial neural networks},
  booktitle = {},
  year = 2024,
}

@inproceedings{CTT100907905,
  author = {Yang S. and Xiang M. and Qu T. and Jin Z. and Suzuki K.},
  title = {Reconstruction of Fast Acquisition MRI with Under-sampled K-space Data by Using Massive-Training Artificial Neural Networks (MTANNs)},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100907906,
  author = {Jin Z. and Pang M. and Qu T. and Oshibe H. and Sasage R. and Suzuki K.},
  title = {Feature Map Visualization for Explaining Black-Box Deep Learning Model in Liver Tumor Segmentation},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100904973,
  author = {Ze Jin and Maolin Pang and Yuqiao Yang and Fahad Parvez Mahdi and Tianyi Qu and Ren Sasage and Kenji Suzuki},
  title = {Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models},
  booktitle = {Lecture notes in computer science, LNCS},
  year = 2023,
}

@inproceedings{CTT100891312,
  author = {Yang S. and Xiang M. and Qu T. and Jin Z. and Suzuki K.},
  title = {Under-sampled Image Reconstruction in Fast Acquisition MRI with Massive-Training Artificial Neural Networks (MTANNs) Deep Learning Approach},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100898547,
  author = {Pang M. and Jin Z. and Qu T. and Mahdi F. P. and Sasage R. and Suzuki K.},
  title = {Functional Model Visualization for Explaining Massive-Training Artificial Neural Network for Liver Tumor Segmentation},
  booktitle = {},
  year = 2023,
}