Sharmila Majumdar
According to our database1,
Sharmila Majumdar
authored at least 33 papers
between 1998 and 2023.
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Bibliography
2023
Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications.
J. Digit. Imaging, April, 2023
Technical Note: Feasibility of translating 3.0T-trained Deep-Learning Segmentation Models Out-of-the-Box on Low-Field MRI 0.55T Knee-MRI of Healthy Controls.
CoRR, 2023
Proceedings of the High Performance Computing for Imaging 2023, 2023
2022
Medical Image Anal., 2022
2021
Leveraging wisdom of the crowds to improve consensus among radiologists by real time, blinded collaborations on a digital swarm platform.
CoRR, 2021
2020
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.
CoRR, 2020
Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning.
CoRR, 2020
CoRR, 2020
Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
2019
Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs.
J. Digit. Imaging, 2019
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2014
Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression.
J. Electronic Imaging, 2014
2012
Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
2010
IEEE Trans. Biomed. Eng., 2010
2008
Studying the effect of noise on the performance of 2D and 3D texture measures for quantifying the trabecular bone structure as obtained with high resolution MR imaging at 3 tesla.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Three-dimensional image registration of MR proximal femur images for the analysis of trabecular bone parameters.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
2007
Analyzing µCT images of bone specimen with wavelets and scaling indices: Which texture measure does better to depict the trabecular bone structure?
Proceedings of the Medical Imaging 2007: Image Processing, 2007
2006
Characterization of high resolution MR images reconstructed by a GRAPPA based parallel technique.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Partially-parallel, susceptibility-weighted MR imaging of brain vasculature at 7 Tesla using sensitivity encoding and an autocalibrating parallel technique.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Fast magnetic resonance spectroscopic imaging at 3 Tesla using autocalibrating parallel technique.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2004
IEEE Trans. Medical Imaging, 2004
Application of a fuzzy inference system to the quantification of 3D magnetic resonance imaging of breast tissue.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Application of the Minkowski functionals in 3D to high-resolution MR images of trabecular bone: prediction of the biomechanical strength by nonlinear topological measures.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Nicht-lineare Texturmaße basierend auf den Minkowski-Funktionalen in 3D: Vorhersage der Bruchlast trabekulärer Knochenpräparate durch Strukturanalyse hochauflösender MR-Aufnahmen.
Proceedings of the Bildverarbeitung für die Medizin 2004, Algorithmen - Systeme, 2004
2003
Scaling index method: a novel nonlinear technique for the analysis of high-resolution MRI of human bones.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Application of the standard Hough-transform to high resolution MRI of human trabecular bone to predict mechanical strength.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
2001
IEEE Trans. Medical Imaging, 2001
1998
Proceedings of the Medical Imaging 1998: Image Processing, 1998