Akshay Chaudhari
Orcid: 0000-0002-3667-6796
According to our database1,
Akshay Chaudhari
authored at least 47 papers
between 2018 and 2024.
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Bibliography
2024
A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries.
CoRR, 2024
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
PLoS Comput. Biol., October, 2023
Nat. Mac. Intell., July, 2023
Convolutional neural networks for prediction of geometrical errors in incremental sheet metal forming.
J. Intell. Manuf., June, 2023
Self-supervised learning for medical image classification: a systematic review and implementation guidelines.
npj Digit. Medicine, 2023
A scoping review of portable sensing for out-of-lab anterior cruciate ligament injury prevention and rehabilitation.
npj Digit. Medicine, 2023
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts.
CoRR, 2023
CoRR, 2023
Radiology Decision Support System for Selecting Appropriate CT Imaging Titles Using Machine Learning Techniques Based on Electronic Medical Records.
IEEE Access, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
DDM<sup>2</sup>: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023
2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Correction to "MRSaiFE: An AI-Based Approach Toward the Real-Time Prediction of Specific Absorption Rate".
IEEE Access, 2022
VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-task Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
ViLMedic: a framework for research at the intersection of vision and language in medical AI.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022
2021
Low-count whole-body PET with deep learning in a multicenter and externally validated study.
npj Digit. Medicine, 2021
Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study.
npj Digit. Medicine, 2021
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.
CoRR, 2021
CoRR, 2021
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations.
CoRR, 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays.
CoRR, 2021
MRSaiFE: An AI-Based Approach Towards the Real-Time Prediction of Specific Absorption Rate.
IEEE Access, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Development of the Next Generation Hand-Held Doppler with Waveform Phasicity Predictive Capabilities Using Deep Learning.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021
2020
Open source software for automatic subregional assessment of knee cartilage degradation using quantitative T2 relaxometry and deep learning.
CoRR, 2020
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.
CoRR, 2020
2019
Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks.
CoRR, 2019
2018
Deep Learning Super-Resolution Enables Rapid Simultaneous Morphological and Quantitative Magnetic Resonance Imaging.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018