| Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 7777 | 2023 |
| GPT-4 technical report R OpenAI ArXiv 2303, 08774, 2023 | 1588 | 2023 |
| 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 | 787 | 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 | 677 | 2020 |
| 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 | 567 | 2021 |
| LadderNet: Multi-path networks based on U-Net for medical image segmentation J Zhuang arXiv preprint arXiv:1810.07810, 2018 | 345 | 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 | 169 | 2022 |
| ShelfNet for fast semantic segmentation J Zhuang, J Yang, L Gu, N Dvornek 2019 IEEE International Conference on Computer Vision (ICCV),CVRSUAD, 2018 | 165 | 2018 |
| 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 | 132 | 2020 |
| Gpt-4o system card A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ... arXiv preprint arXiv:2410.21276, 2024 | 128 | 2024 |
| 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 | 127 | 2019 |
| 2018 robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2020 | 101 | 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 | 86 | 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 | 86 | 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 | 83 | 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 | 60 | 2021 |
| 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 | 43 | 2023 |
| 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 | 38 | 2019 |
| 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 | 28 | 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 |
Nicha C. DvornekAssistant Professor, Radiology & Biomedical Imaging, Yale UniversityAdresse e-mail validée de yale.edu