Abhijeet Parida
According to our database1,
Abhijeet Parida
authored at least 18 papers
between 2019 and 2024.
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Bibliography
2024
CoRR, 2024
CoRR, 2024
D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions.
CoRR, 2024
DiCoM - Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies.
CoRR, 2024
Lung-CADex: Fully Automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions.
Proceedings of the Foundation Models for General Medical AI, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays Using Self-Supervised Learning.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
CoRR, 2023
Novel concept for systematic testing of AI models for MRI acquisition shifts with simulated data.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays.
CoRR, 2022
2021
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images.
CoRR, 2021
2020
2019