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ORCIDAbhijeet Parida
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2020 – today
- 2024
[c9]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. ISBI 2024: 1-5- [c8]Zhifan Jiang, Daniel Capellán-Martín, Abhijeet Parida, Xinyang Liu, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru:
Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing. ISBI 2024: 1-4 - [c7]Abhijeet Parida, Zhifan Jiang, Roger J. Packer, Robert A. Avery, Syed Muhammad Anwar, Marius George Linguraru:
Quantitative Metrics for Benchmarking Medical Image Harmonization. ISBI 2024: 1-5 - [c6]Austin Tapp, Abhijeet Parida, Can Zhao, Van Lam, Natasha Leporé, Syed Muhammad Anwar, Marius George Linguraru:
MR to CT Synthesis Using 3d Latent Diffusion. ISBI 2024: 1-5 - [c5]Hareem Nisar, Syed Muhammad Anwar, Zhifan Jiang, Abhijeet Parida, Ramon Sánchez-Jacob, Vishwesh Nath, Holger R. Roth, Marius George Linguraru:
D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions. MedAGI@MICCAI 2024: 91-102 - [c4]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. MLMI@MICCAI (1) 2024: 73-82 - [c3]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. MLMI@MICCAI (2) 2024: 148-158 - [i13]Abhijeet Parida, Zhifan Jiang, Roger J. Packer, Robert A. Avery, Syed Muhammad Anwar, Marius George Linguraru:
Quantitative Metrics for Benchmarking Medical Image Harmonization. CoRR abs/2402.04426 (2024) - [i12]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 abs/2402.14741 (2024) - [i11]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 abs/2402.15534 (2024) - [i10]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 abs/2407.02604 (2024) - [i9]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 abs/2407.02625 (2024) - [i8]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 abs/2407.09972 (2024) - [i7]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 abs/2407.13632 (2024) - [i6]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:
Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging. CoRR abs/2409.08232 (2024) - 2023
- [c2]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: 1-5 - [c1]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. Image Perception, Observer Performance, and Technology Assessment 2023 - [i5]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 abs/2308.11047 (2023) - 2022
- [i4]Syed Muhammad Anwar, Abhijeet Parida, Sara Atito, Muhammad Awais, Gustavo Nino, Josef Kittler, Marius George Linguraru:
SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays. CoRR abs/2211.12944 (2022) - 2021
- [i3]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 abs/2103.10868 (2021) - 2020
- [i2]Abhijeet Parida, Aadhithya Sankar, Rami Eisawy, Tom Finck, Benedikt Wiestler, Franz Pfister, Julia Moosbauer:
Train, Learn, Expand, Repeat. CoRR abs/2003.08469 (2020)
2010 – 2019
- 2019
- [i1]Abhijeet Parida, Arianne Tran, Nassir Navab, Shadi Albarqouni:
Learn to Segment Organs with a Few Bounding Boxes. CoRR abs/1909.07809 (2019)
Coauthor Index
aka: Syed Muhammed Anwar
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