| Tubular structure segmentation using spatial fully connected network with radial distance loss for 3D medical images C Wang, Y Hayashi, M Oda, H Itoh, T Kitasaka, AF Frangi, K Mori Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 45 | 2019 |
| Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation C Wang, M Oda, Y Hayashi, Y Yoshino, T Yamamoto, AF Frangi, K Mori Medical Image Analysis 60, 101623, 2020 | 36 | 2020 |
| Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams C Wang, HR Roth, T Kitasaka, M Oda, Y Hayashi, Y Yoshino, ... Computerized Medical Imaging and Graphics 77, 101642, 2019 | 21 | 2019 |
| Weakly-supervised deep learning of interstitial lung disease types on CT images C Wang, T Moriya, Y Hayashi, H Roth, L Lu, M Oda, H Ohkubo, K Mori Medical Imaging 2019: Computer-Aided Diagnosis 10950, 373-379, 2019 | 17 | 2019 |
| Development and validation of MRI-based radiomics signatures models for prediction of disease-free survival and overall survival in patients with esophageal squamous cell carcinoma F Chu, Y Liu, Q Liu, W Li, Z Jia, C Wang, Z Wang, S Lu, P Li, Y Zhang, ... European radiology 32 (9), 5930-5942, 2022 | 14 | 2022 |
| Radiomics for the prediction of epilepsy in patients with frontal glioma A Gao, H Yang, Y Wang, G Zhao, C Wang, H Wang, X Zhang, Y Zhang, ... Frontiers in oncology 11, 725926, 2021 | 12 | 2021 |
| Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning T Zheng, M Oda, C Wang, T Moriya, Y Hayashi, Y Otake, M Hashimoto, ... Medical Imaging 2021: Image Processing 11596, 931-936, 2021 | 11 | 2021 |
| Radiomics feature analysis of cartilage and subchondral bone in differentiating knees predisposed to posttraumatic osteoarthritis after anterior cruciate ligament … Y Xie, Y Dan, H Tao, C Wang, C Zhang, Y Wang, J Yang, G Yang, S Chen BioMed Research International 2021, 2021 | 7 | 2021 |
| Tensor-based graph-cut in riemannian metric space and its application to renal artery segmentation C Wang, M Oda, Y Hayashi, Y Yoshino, T Yamamoto, AF Frangi, K Mori International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 7 | 2016 |
| Precise renal artery segmentation for estimation of renal vascular dominant regions C Wang, M Kagajo, Y Nakamura, M Oda, Y Yoshino, T Yamamoto, K Mori Medical Imaging 2016: Image Processing 9784, 718-726, 2016 | 6 | 2016 |
| Organ segmentation from full-size CT images using memory-efficient FCN C Wang, M Oda, K Mori Medical Imaging 2020: Computer-Aided Diagnosis 11314, 110-115, 2020 | 4 | 2020 |
| A deep learning pipeline using prior knowledge for automatic evaluation of placenta accreta spectrum disorders with MRI H Wang, Y Wang, H Zhang, X Yin, C Wang, Y Lu, Y Song, H Zhu, G Yang Journal of Magnetic Resonance Imaging 59 (2), 483-493, 2024 | 3 | 2024 |
| Enhancing Nigrosome‐1 Sign Identification via Interpretable AI using True Susceptibility Weighted Imaging C Wang, N He, Y Zhang, Y Li, P Huang, Y Liu, Z Jin, Z Cheng, Y Liu, ... Journal of Magnetic Resonance Imaging, 2024 | 2 | 2024 |
| Comparison and fusion prediction model for lung adenocarcinoma with micropapillary and solid pattern using clinicoradiographic, radiomics and deep learning features F Wang, CL Wang, YQ Yi, T Zhang, Y Zhong, JJ Zhu, H Li, G Yang, TF Yu, ... Scientific Reports 13 (1), 9302, 2023 | 2 | 2023 |
| Fine segmentation of tiny blood vessel based on full connected conditional random field C Wang, M Oda, Y Yoshino, T Yamamoto, K Mori Medical Imaging 2018: Image Processing 10574, 130-136, 2018 | 2 | 2018 |
| Towards reliable and explainable AI model for pulmonary nodule diagnosis C Wang, Y Liu, F Wang, C Zhang, Y Wang, M Yuan, G Yang Biomedical Signal Processing and Control 88, 105646, 2024 | 1 | 2024 |
| A machine learning-assisted study on organic solvents in electrolytes for expanding the electrochemical stable window of zinc-ion batteries G Xu, Y Zhang, M Jiang, J Li, H Sun, J Li, T Lu, C Wang, G Yang, L Pan Chemical Engineering Journal 476, 146676, 2023 | 1 | 2023 |
| A data-driven interpretable method to predict capacities of metal ion doped TiO 2 anode materials for lithium-ion batteries using machine learning classifiers M Jiang, Y Zhang, Z Yang, H Li, J Li, J Li, T Lu, C Wang, G Yang, L Pan Inorganic Chemistry Frontiers 10 (22), 6646-6654, 2023 | 1 | 2023 |
| The MRI radiomics signature can predict the pathologic response to neoadjuvant chemotherapy in locally advanced esophageal squamous cell carcinoma S Lu, C Wang, Y Liu, F Chu, Z Jia, H Zhang, Z Wang, Y Lu, S Wang, ... European Radiology 34 (1), 485-494, 2024 | | 2024 |
| Machine learning accelerated study for predicting the lattice constant and substitution energy of metal doped titanium dioxide M Jiang, Z Yang, T Lu, X Liu, J Li, C Wang, G Yang, L Pan Ceramics International 50 (1), 1079-1086, 2024 | | 2024 |
