Abhijeet Parida

According to our database, Abhijeet Parida authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

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

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

CoRR, 2024

Quantitative Metrics for Benchmarking Medical Image Harmonization.

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

CoRR, 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 Kitler, 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