Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 4559 | 2023 |
GPT-4 technical report R OpenAI ArXiv 2303, 08774, 2023 | 1157 | 2023 |
Adabelief optimizer: Adapting stepsizes by the belief in observed gradients J Zhuang, T Tang, Y Ding, S Tatikonda, N Dvornek, X Papademetris, ... Conference on Neural Information Processing Systems, NeurIPS 2020, 2020 | 606 | 2020 |
Improving Image Generation with Better Captions J Betker, G Goh, L Jing, T Brooks, J Wang, L Li, L Ouyang, J Zhuang, ... https://cdn. openai. com/papers/dall-e-3.pdf, 2023 | 504 | 2023 |
Braingnn: Interpretable brain graph neural network for fmri analysis X Li, Y Zhou, N Dvornek, M Zhang, S Gao, J Zhuang, D Scheinost, ... Medical Image Analysis 74, 102233, 2021 | 493 | 2021 |
LadderNet: Multi-path networks based on U-Net for medical image segmentation J Zhuang arXiv preprint arXiv:1810.07810, 2018 | 327 | 2018 |
ShelfNet for fast semantic segmentation J Zhuang, J Yang, L Gu, N Dvornek 2019 IEEE International Conference on Computer Vision (ICCV),CVRSUAD, 2018 | 153 | 2018 |
Surrogate gap minimization improves sharpness-aware training J Zhuang, B Gong, L Yuan, Y Cui, H Adam, N Dvornek, S Tatikonda, ... arXiv preprint arXiv:2203.08065, 2022 | 140 | 2022 |
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE J Zhuang, N Dvornek, X Li, S Tatikonda, X Papademetris, J Duncan International Conference on Machine Learning, ICML 2020., 2020 | 126 | 2020 |
Graph neural network for interpreting task-fmri biomarkers X Li, NC Dvornek, Y Zhou, J Zhuang, P Ventola, JS Duncan Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 117 | 2019 |
2018 robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2020 | 87 | 2020 |
2-channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning X Li, NC Dvornek, X Papademetris, J Zhuang, LH Staib, P Ventola, ... 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 83 | 2018 |
Brain biomarker interpretation in ASD using deep learning and fMRI X Li, NC Dvornek, J Zhuang, P Ventola, JS Duncan Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 81 | 2018 |
Pooling regularized graph neural network for fmri biomarker analysis X Li, Y Zhou, NC Dvornek, M Zhang, J Zhuang, P Ventola, JS Duncan Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 76 | 2020 |
MALI: A memory efficient and reverse accurate integrator for Neural ODEs J Zhuang, NC Dvornek, S Tatikonda, JS Duncan International Conference on Learning Representations, ICLR, 2021 | 57 | 2021 |
Jointly discriminative and generative recurrent neural networks for learning from fMRI NC Dvornek, X Li, J Zhuang, JS Duncan Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 35 | 2019 |
Improving image generation with better captions. 2023 J Betker, G Goh, L Jing, T Brooks, J Wang, L Li, L Ouyang, J Zhuang, ... URL https://cdn. openai. com/papers/dall-e-3. pdf, 2023 | 33 | 2023 |
Neuropsychiatric disease classification using functional connectomics-results of the connectomics in neuroimaging transfer learning challenge MD Schirmer, A Venkataraman, I Rekik, M Kim, SH Mostofsky, MB Nebel, ... Medical image analysis 70, 101972, 2021 | 27 | 2021 |
Invertible network for classification and biomarker selection for ASD J Zhuang, NC Dvornek, X Li, P Ventola, JS Duncan Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 27 | 2019 |
Efficient interpretation of deep learning models using graph structure and cooperative game theory: Application to asd biomarker discovery X Li, NC Dvornek, Y Zhou, J Zhuang, P Ventola, JS Duncan Information Processing in Medical Imaging: 26th International Conference …, 2019 | 23 | 2019 |