Ssnet: A deep learning approach for protein-ligand interaction prediction N Verma, X Qu, F Trozzi, M Elsaied, N Karki, Y Tao, B Zoltowski, ... International journal of molecular sciences 22 (3), 1392, 2021 | 39 | 2021 |
A bottom-up summarization algorithm for videos in the wild G Pan, Y Zheng, R Zhang, Z Han, D Sun, X Qu EURASIP Journal on Advances in Signal Processing 2019, 1-11, 2019 | 16 | 2019 |
Evaluating robotic-assisted surgery training videos with multi-task convolutional neural networks Y Wang, J Dai, TN Morgan, M Elsaied, A Garbens, X Qu, R Steinberg, ... Journal of robotic surgery, 1-9, 2021 | 13 | 2021 |
Video clip growth: A general algorithm for multi-view video summarization G Pan, X Qu, L Lv, S Guo, D Sun Advances in Multimedia Information Processing–PCM 2018: 19th Pacific-Rim …, 2018 | 8 | 2018 |
MP34-06 machine learning using a multi-task convolutional neural networks can accurately assess robotic skills J Gahan*, R Steinberg, A Garbens, X Qu, E Larson The Journal of Urology 203 (Supplement 4), e505-e505, 2020 | 4 | 2020 |
SSnet-Secondary Structure based End-to-End Learning model for Protein-Ligand Interaction Prediction N Verma, X Qu, F Trozzi, M Elsaied, Y Tao, EC Larson, E Kraka bioRxiv, 2020 | 4 | 2020 |