Weakly-Supervised Action Localization, and Action Recognition Using Global–Local Attention of 3D CNN von Yudistira, Novanto, Kavitha, Muthu Subash, Kurita, Takio

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Correlation Net: Spatiotemporal multimodal deep learning for action recognition von Yudistira, Novanto, Kurita, Takio

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Improved Head and Data Augmentation to Reduce Artifacts at Grid Boundaries in Object Detection von UCHINOURA, Shinji, KURITA, Takio

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Autoencoder framework based on orthogonal projection constraints improves anomalies detection von Yu, Qien, Kavitha, Muthusubash, Kurita, Takio

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Sample Selection Approach with Number of False Predictions for Learning with Noisy Labels von NOMURA, Yuichiro, KURITA, Takio

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Prediction of Sequential Organelles Localization under Imbalance using A Balanced Deep U-Net von Yudistira, Novanto, Kavitha, Muthusubash, Itabashi, Takeshi, Iwane, Atsuko H., Kurita, Takio

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Consistency Regularization on Clean Samples for Learning with Noisy Labels von NOMURA, Yuichiro, KURITA, Takio

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Multi-projection deep learning network for segmentation of 3D medical images von Indraswari, Rarasmaya, Kurita, Takio, Arifin, Agus Zainal, Suciati, Nanik, Astuti, Eha Renwi

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Deep learning enables automated localization of the metastatic lymph node for thyroid cancer on 131I post-ablation whole-body planar scans von Kavitha, MuthuSubash, Lee, Chang-Hee, Shibudas, KattakkaliSubhashdas, Kurita, Takio, Ahn, Byeong-Cheol

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Regularizer based on Euler characteristic for retinal blood vessel segmentation von Hakim, Lukman, Kavitha, Muthu Subash, Yudistira, Novanto, Kurita, Takio

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Nonlinear dimensionality reduction with q-Gaussian distribution von Abe, Motoshi, Nomura, Yuichiro, Kurita, Takio

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An Object Detection Method Using Probability Maps for Instance Segmentation to Mask Background von Uchinoura, Shinji, Miyao, Junichi, Kurita, Takio

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Deep Metric Learning for Multi-Label and Multi-Object Image Retrieval von MOJOO, Jonathan, KURITA, Takio

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Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection von Yu, Qien, Kavitha, Muthu Subash, Kurita, Takio

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Mixture of experts with convolutional and variational autoencoders for anomaly detection von Yu, Qien, Kavitha, Muthu Subash, Kurita, Takio

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Logistic Regression Analysis for the Material Design of Chiral Crystals von Shimono, Eri, Inoue, Katsuya, Kurita, Takio, Ichiraku, Yoji

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Author Correction: Deep learning enables automated localization of the metastatic lymph node for thyroid cancer on 131I post-ablation whole-body planar scans von Kavitha, MuthuSubash, Lee, Chang-Hee, Shibudas, KattakkaliSubhashdas, Kurita, Takio, Ahn, Byeong-Cheol

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Correction to: Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection von Yu, Qien, Kavitha, Muthu Subash, Kurita, Takio

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Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells von Kavitha, Muthu Subash, Kurita, Takio, Park, Soon-Yong, Chien, Sung-Il, Bae, Jae-Sung, Ahn, Byeong-Cheol

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Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning von Yudistira, Novanto, Kurita, Takio

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