Arjun Nair
According to our database1,
Arjun Nair
authored at least 15 papers
between 2019 and 2024.
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Bibliography
2024
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning.
Comput. Medical Imaging Graph., 2024
Proceedings of the Ethics and Fairness in Medical Imaging, 2024
2023
Trans. Mach. Learn. Res., 2023
A 3D deep learning classifier and its explainability when assessing coronary artery disease.
CoRR, 2023
2022
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning.
CoRR, 2022
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data.
CoRR, 2021
A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning.
IEEE Access, 2021
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019