| Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data VP Sudarshan*, U Upadhyay*, GF Egan, Z Chen, SP Awate Medical Image Analysis, 102187, 2021 | 35 | 2021 |
| Uncertainty-Guided Progressive GANs for Medical Image Translation U Upadhyay, Y Chen, T Hepp, S Gatidis, Z Akata (MICCAI) International Conference on Medical Image Computing and Computer …, 2021 | 31 | 2021 |
| Robust Super-Resolution GAN, with Manifold-based and Perception Loss U Upadhyay, SP Awate (ISBI) IEEE International Symposium on Biomedical Imaging, 1372-1376, 2019 | 29 | 2019 |
| Robustness via Uncertainty-aware Cycle Consistency U Upadhyay, Y Chen, Z Akata (NeurIPS) Advances in Neural Information Processing Systems, 2021 | 22* | 2021 |
| A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement U Upadhyay, SP Awate (MICCAI) International Conference on Medical Image Computing and Computer …, 2019 | 22 | 2019 |
| Uncertainty-Aware GAN With Adaptive Loss for Robust MRI Image Enhancement U Upadhyay, VP Sudarshan, SP Awate (ICCVw) Proceedings of the IEEE/CVF International Conference on Computer …, 2021 | 21 | 2021 |
| BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks U Upadhyay, S Karthik, Y Chen, M Mancini, Z Akata (ECCV) European conference on Computer Vision, 2022 | 17 | 2022 |
| Transformer Based Reinforcement Learning For Games U Upadhyay, N Shah, S Ravikanti, M Medhe arXiv preprint arXiv:1912.03918, 2019 | 15 | 2019 |
| ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models U Upadhyay, S Karthik, M Mancini, Z Akata (ICCV) Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | 10 | 2023 |
| Towards Automating Retinoscopy for Refractive Error Diagnosis A Aggarwal, S Gairola, U Upadhyay, AP Vasishta, D Rao, A Goyal, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022 | 6 | 2022 |
| Spinal Stenosis Detection in MRI using Modular Coordinate Convolutional Attention Networks U Upadhyay, B Singhal, M Singh IEEE International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 6 | 2019 |
| The Manifold Hypothesis for Gradient-Based Explanations S Bordt, U Upadhyay, Z Akata, U von Luxburg (CVPRw) Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2023 | 5 | 2023 |
| Removal of Batch Effects using Generative Adversarial Networks U Upadhyay, A Jain arXiv preprint arXiv:1901.06654, 2019 | 5 | 2019 |
| HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms U Upadhyay, S Bade, A Puranik, S Asfahan, M Babu, F Lopez-Jimenez, ... (TMLR) Transactions on Machine Learning Research, 2023 | 2 | 2023 |
| USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution V Rangnekar*, U Upadhyay*, Z Akata, B Banerjee (UAI) The Conference on Uncertainty in Artificial Intelligence, 2023 | 2 | 2023 |
| Likelihood Annealing: Fast Calibrated Uncertainty for Regression U Upadhyay, JM Kim, C Schmidt, B Schölkopf, Z Akata arXiv preprint arXiv:2302.11012, 2023 | 2* | 2023 |
| Compact Representation Learning using Class Specific Convolution Coders-Application to Medical Image Classification U Upadhyay, B Banerjee (ISBI) IEEE International Symposium on Biomedical Imaging, 2020 | 2 | 2020 |
| MRI GUIDED DEEP LEARNING IMAGE RECONSTRUCTION FOR LOW DOSE PET C Pain, VP Sudarshan, U Upadhyay, SP Awate, GF Egan INTERNAL MEDICINE JOURNAL 51, 29-30, 2021 | 1 | 2021 |
| QUEST for MEDISYN: Quasi-norm based Uncertainty ESTimation for MEDical Image SYNthesis U Upadhyay, VP Sudarshan, SP Awate ICML workshop on Uncertainty & Robustness in Deep Learning, 2020 | 1 | 2020 |
| Apparatus and a method for predicting a physiological indicator U Upadhyay, B Sairam, B Melwin, A Prasad, A Puranik, R Barve, ... US Patent App. 18/519,564, 2024 | | 2024 |
Zeynep AkataProfessor at TUM and Director at Helmholtz Munich在 helmholtz-munich.de 的电子邮件经过验证
