Learn to Segment Organs with a Few Bounding Boxes. - Abhijeet Parida; Arianne Tran; Nassir Navab; Shadi Albarqouni (CoRR, 2019)

Train, Learn, Expand, Repeat. - Abhijeet Parida; Aadhithya Sankar; Rami Eisawy; Tom Finck; Benedikt Wiestler; Franz Pfister; Julia Moosbauer (CoRR, 2020)

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 001; Nassir Navab (CoRR, 2021)

SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays. - Syed Muhammad Anwar; Abhijeet Parida; Sara Atito 001; Muhammad Awais 001; Gustavo Nino; Josef Kittler; Marius George Linguraru (CoRR, 2022)

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 (EMBC, 2023)

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 (BraTS/CrossMoDA@MICCAI, 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 (Image Perception, Observer Performance, and Technology Assessment, 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)

SS-CXR: Self-Supervised Pretraining Using Chest X-Rays Towards A Domain Specific Foundation Model. - Syed Muhammad Anwar; Abhijeet Parida; Sara Atito 001; Muhammad Awais 001; Gustavo Nino; Josef Kittler; Marius George Linguraru (ICIP, 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 (ISBI, 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 (ISBI, 2024)

Quantitative Metrics for Benchmarking Medical Image Harmonization. - Abhijeet Parida; Zhifan Jiang; Roger J. Packer; Robert A. Avery; Syed Muhammad Anwar; Marius George Linguraru (ISBI, 2024)

MR to CT Synthesis Using 3d Latent Diffusion. - Austin Tapp; Abhijeet Parida; Can Zhao 001; Van Lam; Natasha Leporé; Syed Muhammad Anwar; Marius George Linguraru (ISBI, 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 (MedAGI@MICCAI, 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 001; Syed Muhammed Anwar; Marius George Linguraru; Holger R. Roth (MLMI@MICCAI (2), 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 (MLMI@MICCAI (1), 2024)

Tiny Lungs, Big Challenges: Pediatric and Premature Lung Segmentation using Deep Learning. - Hareem Nisar; Abhijeet Parida; Syed Muhammad Anwar; Gustavo Nino; Maria C. Rujana; Marius George Linguraru (SIPAIM, 2024)

DiCoM - Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies. - Abhijeet Parida; Daniel Capellán-Martín; Sara Atito 001; Muhammad Awais 001; María J. Ledesma-Carbayo; Marius George Linguraru; Syed Muhammad Anwar (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)

Harvesting Private Medical Images in Federated Learning Systems with Crafted Models. - Shanghao Shi; Md Shahedul Haque; Abhijeet Parida; Marius George Linguraru; Y. Thomas Hou 001; Syed Muhammad Anwar; Wenjing Lou (CoRR, 2024)

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation. - Zhifan Jiang; Daniel Capellán-Martín; Abhijeet Parida; Austin Tapp; Xinyang Liu; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (CoRR, 2024)

Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data. - Abhijeet Parida; Daniel Capellán-Martín; Zhifan Jiang; Austin Tapp; Xinyang Liu; Syed Muhammad Anwar; María J. Ledesma-Carbayo; Marius George Linguraru (CoRR, 2024)

KALM: Knowledge-Driven Active Learning for Medical Image Segmentation Using Localized Similarity. - Zhifan Jiang; Vishwesh Nath; Holger R. Roth; Abhijeet Parida; Nicholas Foreman; Michael J. Fisher; Roger J. Packer; Syed Muhammad Anwar; Robert A. Avery; Marius George Linguraru (ISBI, 2025)