| Deep-learning-based optimization of the under-sampling pattern in MRI CD Bahadir, AQ Wang, AV Dalca, MR Sabuncu IEEE Transactions on Computational Imaging 6, 1139-1152, 2020 | 140 | 2020 |
| Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI J Zhang, H Zhang, A Wang, Q Zhang, M Sabuncu, P Spincemaille, ... Machine Learning for Medical Image Reconstruction: Third International …, 2020 | 37 | 2020 |
| Neural network-based reconstruction in compressed sensing MRI without fully-sampled training data AQ Wang, AV Dalca, MR Sabuncu Machine Learning for Medical Image Reconstruction: Third International …, 2020 | 29 | 2020 |
| Hyperrecon: Regularization-agnostic cs-mri reconstruction with hypernetworks AQ Wang, AV Dalca, MR Sabuncu Machine Learning for Medical Image Reconstruction: 4th International …, 2021 | 26 | 2021 |
| KeyMorph: Robust multi-modal affine registration via unsupervised keypoint detection MY Evan, AQ Wang, AV Dalca, MR Sabuncu Medical imaging with deep learning, 2022 | 25 | 2022 |
| A robust and interpretable deep learning framework for multi-modal registration via keypoints AQ Wang, MY Evan, AV Dalca, MR Sabuncu Medical Image Analysis 90, 102962, 2023 | 13 | 2023 |
| Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis G Zhou, Y Chen, C Chien, L Revatta, J Ferdous, M Chen, S Deb, ... NPJ Digital Medicine 6 (1), 163, 2023 | 9 | 2023 |
| Computing multiple image reconstructions with a single hypernetwork AQ Wang, AV Dalca, MR Sabuncu arXiv preprint arXiv:2202.11009, 2022 | 9 | 2022 |
| Neural pre-processing: A learning framework for end-to-end brain mri pre-processing X He, AQ Wang, MR Sabuncu International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 6 | 2023 |
| Hyper-convolutions via implicit kernels for medical image analysis T Ma, AQ Wang, AV Dalca, MR Sabuncu Medical Image Analysis 86, 102796, 2023 | 6* | 2023 |
| A flexible Nadaraya-Watson head can offer explainable and calibrated classification AQ Wang, MR Sabuncu arXiv preprint arXiv:2212.03411, 2022 | 6 | 2022 |
| A Framework for Interpretability in Machine Learning for Medical Imaging AQ Wang, BK Karaman, H Kim, J Rosenthal, R Saluja, SI Young, ... IEEE Access, 2024 | 4 | 2024 |
| Knockout: A simple way to handle missing inputs M Nguyen, BK Karaman, H Kim, AQ Wang, F Liu, MR Sabuncu arXiv preprint arXiv:2405.20448, 2024 | 2 | 2024 |
| Learning invariant representations with a nonparametric nadaraya-watson head A Wang, M Nguyen, M Sabuncu Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring B Li, A Tavakoli, A Wang, N Kaur, L Barnes, A Doryab, A Heydarian Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | 2 | 2023 |
| A coordinate-regression-based deep learning model for catheter detection during structural heart interventions M Aghasizade, A Kiyoumarsioskouei, S Hashemi, M Torabinia, A Caprio, ... Applied Sciences 13 (13), 7778, 2023 | 2 | 2023 |
| A Pilot Study Investigating Student Interaction Preferences in Immersive Virtual Reality Environments AS Gill, DS Irwin, S Mareta, D Towey, A Wang, Y Zhang 2022 IEEE International Conference on Teaching, Assessment and Learning for …, 2022 | 2 | 2022 |
| Joint optimization of hadamard sensing and reconstruction in compressed sensing fluorescence microscopy AQ Wang, AK LaViolette, L Moon, C Xu, MR Sabuncu Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 2 | 2021 |
| BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration AQ Wang, R Saluja, H Kim, X He, A Dalca, MR Sabuncu arXiv preprint arXiv:2405.14019, 2024 | 1 | 2024 |
| Adapting to Shifting Correlations with Unlabeled Data Calibration M Nguyen, AQ Wang, H Kim, MR Sabuncu arXiv preprint arXiv:2409.05996, 2024 | | 2024 |
Mert R. SabuncuCornell University, Cornell Tech, Weill Cornell MedicineVerified email at cornell.edu
