Abhijeet Parida

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Thoracic Ct Images

Fully Automatic

Top Venues

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Publications

Hareem Nisar, Syed Muhammad Anwar, Zhifan Jiang, Abhijeet Parida, Vishwesh Nath, Holger R. Roth, Marius George Linguraru
D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions. CoRR (2024)
Abhijeet Parida, Daniel Capellán-Martín, Sara Atito, Muhammad Awais, María J. Ledesma-Carbayo, Marius George Linguraru, Syed Muhammad Anwar
DiCoM - Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies. CoRR (2024)
Furqan Shaukat, Syed Muhammad Anwar, Abhijeet Parida, Van Khanh Lam, Marius George Linguraru, Lubdha M. Shah
Lung-CADex: Fully automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images. CoRR (2024)
Abhijeet Parida, Zhifan Jiang, Roger J. Packer, Robert A. Avery, Syed Muhammad Anwar, Marius George Linguraru
Quantitative Metrics for Benchmarking Medical Image Harmonization. CoRR (2024)
Shanghao Shi, Md Shahedul Haque, Abhijeet Parida, Marius George Linguraru, Y. Thomas Hou, Syed Muhammad Anwar, Wenjing Lou
Harvesting Private Medical Images in Federated Learning Systems with Crafted Models. CoRR (2024)
Daniel Capellán-Martín, Abhijeet Parida, Juan J. Gómez-Valverde, Ramon Sánchez-Jacob, Pooneh Roshanitabrizi, Marius George Linguraru, María J. Ledesma-Carbayo, Syed Muhammad Anwar
Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning. CoRR (2024)
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
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. CoRR (2024)
Abhijeet Parida, Zhifan Jiang, Syed Muhammad Anwar, Nicholas Foreman, Nicholas Stence, Michael J. Fisher, Roger J. Packer, Robert A. Avery, Marius George Linguraru
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI. CoRR (2023)
Zhifan Jiang, Abhijeet Parida, Syed Muhammad Anwar, Yucheng Tang, Holger R. Roth, Michael J. Fisher, Roger J. Packer, Robert A. Avery, Marius George Linguraru
Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging. EMBC (2023)
Christiane Posselt, Edith Gramotke, Abhijeet Parida, Mehmet Yigitsoy, Stefanie Remmele
Novel concept for systematic testing of AI models for MRI acquisition shifts with simulated data. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Syed Muhammad Anwar, Abhijeet Parida, Sara Atito, Muhammad Awais, Gustavo Nino, Josef Kitler, Marius George Linguraru
SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays. CoRR (2022)
Aadhithya Sankar, Matthias Keicher, Rami Eisawy, Abhijeet Parida, Franz Pfister, Seong-Tae Kim, Nassir Navab
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images. CoRR (2021)
Abhijeet Parida, Aadhithya Sankar, Rami Eisawy, Tom Finck, Benedikt Wiestler, Franz Pfister, Julia Moosbauer
Train, Learn, Expand, Repeat. CoRR (2020)
Abhijeet Parida, Arianne Tran, Nassir Navab, Shadi Albarqouni
Learn to Segment Organs with a Few Bounding Boxes. CoRR (2019)