Rahul Dodhia
Orcid: 0000-0003-3812-3906
According to our database1,
Rahul Dodhia
authored at least 28 papers
between 2020 and 2024.
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Bibliography
2024
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.
CoRR, 2024
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery.
CoRR, 2024
2023
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.
Comput. Biol. Medicine, May, 2023
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images.
CoRR, 2023
Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images.
CoRR, 2023
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data.
CoRR, 2023
Navigating the Web of Misinformation: A Framework for Misinformation Domain Detection Using Browser Traffic.
CoRR, 2023
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters.
CoRR, 2023
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 2023
2022
Trans. Mach. Learn. Res., 2022
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
CoRR, 2022
On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
Acoustic detection of regionally rare bird species through deep convolutional neural networks.
Ecol. Informatics, 2021
CoRR, 2021
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises.
CoRR, 2021
CoRR, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
2020
A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network.
Ecol. Informatics, 2020