| Diagnostic classification of lung nodules using 3D neural networks R Dey, Z Lu, Y Hong 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018
, 2018 | 180 | 2018 |
| CompNet: Complementary segmentation network for brain MRI extraction R Dey, Y Hong Medical Image Computing and Computer Assisted InterventionMICCAI 2018: 21st
, 2018 | 57 | 2018 |
| Geometry-based control of fire simulation Y Hong, D Zhu, X Qiu, Z Wang The visual computer 26, 1217-1228, 2010 | 40 | 2010 |
| Geodesic regression on the Grassmannian Y Hong, R Kwitt, N Singh, B Davis, N Vasconcelos, M Niethammer Computer VisionECCV 2014: 13th European Conference, Zurich, Switzerland
, 2014 | 39 | 2014 |
| Metamorphic geodesic regression Y Hong, S Joshi, M Sanchez, M Styner, M Niethammer Medical Image Computing and Computer-Assisted InterventionMICCAI 2012: 15th
, 2012 | 35 | 2012 |
| Sa-net: Robust state-action recognition for learning from observations N Soans, E Asali, Y Hong, P Doshi 2020 IEEE International Conference on Robotics and Automation (ICRA), 2153-2159, 2020 | 33 | 2020 |
| Hybrid cascaded neural network for liver lesion segmentation R Dey, Y Hong 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1173-1177, 2020 | 29 | 2020 |
| Quantitative assessment of the upper airway in infants and children with subglottic stenosis C Zdanski, S Davis, Y Hong, D Miao, C Quammen, S Mitran, B Davis, ... The Laryngoscope 126 (5), 1225-1231, 2016 | 29 | 2016 |
| Parametric regression on the Grassmannian Y Hong, R Kwitt, N Singh, N Vasconcelos, M Niethammer IEEE transactions on pattern analysis and machine intelligence 38 (11), 2284
, 2016 | 24 | 2016 |
| Time-warped geodesic regression Y Hong, N Singh, R Kwitt, M Niethammer Medical Image Computing and Computer-Assisted InterventionMICCAI 2014: 17th
, 2014 | 23 | 2014 |
| Scribble2d5: Weakly-supervised volumetric image segmentation via scribble annotations Q Chen, Y Hong International Conference on Medical Image Computing and Computer-Assisted
, 2022 | 22 | 2022 |
| Asc-net: Adversarial-based selective network for unsupervised anomaly segmentation R Dey, Y Hong Medical Image Computing and Computer Assisted InterventionMICCAI 2021: 24th
, 2021 | 21 | 2021 |
| Medblip: Bootstrapping language-image pre-training from 3d medical images and texts Q Chen, X Hu, Z Wang, Y Hong arXiv preprint arXiv:2305.10799, 2023 | 20 | 2023 |
| Fast geodesic regression for population-based image analysis Y Hong, P Golland, M Zhang Medical Image Computing and Computer Assisted Intervention− MICCAI 2017
, 2017 | 19 | 2017 |
| Group testing for longitudinal data Y Hong, N Singh, R Kwitt, M Niethammer Information Processing in Medical Imaging: 24th International Conference
, 2015 | 18 | 2015 |
| Statistical atlas construction via weighted functional boxplots Y Hong, B Davis, JS Marron, R Kwitt, N Singh, JS Kimbell, E Pitkin, ... Medical image analysis 18 (4), 684-698, 2014 | 18 | 2014 |
| Simple geodesic regression for image time-series Y Hong, Y Shi, M Styner, M Sanchez, M Niethammer Biomedical Image Registration: 5th International Workshop, WBIR 2012
, 2012 | 18 | 2012 |
| Genetic load determines atrophy in hand cortico‐striatal pathways in presymptomatic Huntington's disease Y Hong, LJ O'Donnell, P Savadjiev, F Zhang, D Wassermann, ... Human brain mapping 39 (10), 3871-3883, 2018 | 17 | 2018 |
| R2Net: Efficient and flexible diffeomorphic image registration using Lipschitz continuous residual networks A Joshi, Y Hong Medical Image Analysis 89, 102917, 2023 | 12 | 2023 |
| Diffeomorphic image registration using lipschitz continuous residual networks A Joshi, Y Hong International Conference on Medical Imaging with Deep Learning, 605-617, 2022 | 9 | 2022 |
Marc NiethammerProfessor of Computer Science, UNC Chapel HillPatvirtintas el. paštas cs.unc.edu
