Abhijeet Parida

According to our database1, Abhijeet Parida authored at least 18 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging.
CoRR, 2024

Harvesting Private Medical Images in Federated Learning Systems with Crafted Models.
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

MR to CT Synthesis Using 3d Latent Diffusion.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Quantitative Metrics for Benchmarking Medical Image Harmonization.
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
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI.
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
Train, Learn, Expand, Repeat.
CoRR, 2020

2019
Learn to Segment Organs with a Few Bounding Boxes.
CoRR, 2019


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