Abhijeet Parida

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging.

Daniel Capellán-Martín, Zhifan Jiang, Abhijeet Parida, Xinyang Liu, Van Lam, Hareem Nisar, Austin Tapp, Sarah Elsharkawi, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru

CoRR, 2024

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

Shanghao Shi, Md Shahedul Haque, Abhijeet Parida, Marius George Linguraru, Y. Thomas Hou, Syed Muhammad Anwar, Wenjing Lou

CoRR, 2024

D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions.

Hareem Nisar, Syed Muhammad Anwar, Zhifan Jiang, Abhijeet Parida, Vishwesh Nath, Holger R. Roth, Marius George Linguraru

CoRR, 2024

DiCoM - Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies.

Abhijeet Parida, Daniel Capellán-Martín, Sara Atito, Muhammad Awais, María J. Ledesma-Carbayo, Marius George Linguraru, Syed Muhammad Anwar

CoRR, 2024

Lung-CADex: Fully Automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images.

Furqan Shaukat, Syed Muhammad Anwar, Abhijeet Parida, Van Khanh Lam, Marius George Linguraru, Lubdha M. Shah

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration.

Abhijeet Parida, Antònia Alomar, Zhifan Jiang, Pooneh Roshanitabrizi, Austin Tapp, María J. Ledesma-Carbayo, Ziyue Xu, Syed Muhammed Anwar, Marius George Linguraru, Holger R. Roth

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.

Hareem Nisar, Syed Muhammad Anwar, Zhifan Jiang, Abhijeet Parida, Ramon Sánchez-Jacob, Vishwesh Nath, Holger R. Roth, Marius George Linguraru

Proceedings of the Foundation Models for General Medical AI, 2024

MR to CT Synthesis Using 3d Latent Diffusion.

Austin Tapp, Abhijeet Parida, Can Zhao, Van Lam, Natasha Leporé, Syed Muhammad Anwar, Marius George Linguraru

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Quantitative Metrics for Benchmarking Medical Image Harmonization.

Abhijeet Parida, Zhifan Jiang, Roger J. Packer, Robert A. Avery, Syed Muhammad Anwar, Marius George Linguraru

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing.

Zhifan Jiang, Daniel Capellán-Martín, Abhijeet Parida, Xinyang Liu, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays Using Self-Supervised Learning.

Daniel Capellán-Martín, Abhijeet Parida, Juan J. Gómez-Valverde, Ramon Sánchez-Jacob, Pooneh Roshanitabrizi, Marius George Linguraru, María J. Ledesma-Carbayo, Syed Muhammad Anwar

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI.

Abhijeet Parida, Zhifan Jiang, Syed Muhammad Anwar, Nicholas Foreman, Nicholas Stence, Michael J. Fisher, Roger J. Packer, Robert A. Avery, Marius George Linguraru

CoRR, 2023

Novel concept for systematic testing of AI models for MRI acquisition shifts with simulated data.

Christiane Posselt, Edith Gramotke, Abhijeet Parida, Mehmet Yigitsoy, Stefanie Remmele

Proceedings of the Medical Imaging 2023: Image Perception, 2023

Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging.

Zhifan Jiang, Abhijeet Parida, Syed Muhammad Anwar, Yucheng Tang, Holger R. Roth, Michael J. Fisher, Roger J. Packer, Robert A. Avery, Marius George Linguraru

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.

Syed Muhammad Anwar, Abhijeet Parida, Sara Atito, Muhammad Awais, Gustavo Nino, Josef Kittler, Marius George Linguraru

CoRR, 2022

2021

GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images.

Aadhithya Sankar, Matthias Keicher, Rami Eisawy, Abhijeet Parida, Franz Pfister, Seong-Tae Kim, Nassir Navab

CoRR, 2021

2020

Train, Learn, Expand, Repeat.

Abhijeet Parida, Aadhithya Sankar, Rami Eisawy, Tom Finck, Benedikt Wiestler, Franz Pfister, Julia Moosbauer

CoRR, 2020

2019

Learn to Segment Organs with a Few Bounding Boxes.

Abhijeet Parida, Arianne Tran, Nassir Navab, Shadi Albarqouni

CoRR, 2019