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Sharmila Majumdar
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2020 – today
- 2024
- [i9]Natalia Konovalova, Aniket A. Tolpadi, Felix Liu, Zehra Akkaya, Felix Gassert, Paula Giesler, Johanna Luitjens, Misung Han, Emma Bahroos, Sharmila Majumdar, Valentina Pedoia:
The object detection method aids in image reconstruction evaluation and clinical interpretation of meniscal abnormalities. CoRR abs/2407.12184 (2024) - 2023
- [j8]Rutwik Shah
, Bruno Astuto Arouche Nunes, Tyler Gleason, Will Fletcher, Justin Banaga, Kevin Sweetwood, Allen Ye, Rina Patel, Kevin C. McGill, Thomas M. Link, Jason C. Crane, Valentina Pedoia, Sharmila Majumdar:
Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications. J. Digit. Imaging 36(2): 401-413 (2023) - [c18]Felix Liu, Vanitha Sankaranarayanan, Javier E. Villanueva-Meyer, Shawn Hervey-Jumper, James Hawkins, Pablo F. Damasceno, Mauro Bisson, Joshua Romero, Thorsten Kurth, Massimiliano Fatica, Eleftherios Garyfallidis, Ariel Rokem
Clinical validation of rapid GPU-enabled DTI tractography of the brain. High Performance Computing for Imaging 2023: 1-4 - [i8]Rupsa Bhattacharjee, Zehra Akkaya, Johanna Luitjens, Pan Su, Yang Yang, Valentina Pedoia, Sharmila Majumdar:
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 abs/2310.17152 (2023) - 2022
- [j7]Francesco Calivá, Sarthak Kamat, Alejandro Morales Martinez
Surface spherical encoding and contrastive learning for virtual bone shape aging. Medical Image Anal. 77: 102388 (2022) - 2021
- [i7]Rutwik Shah, Bruno Astuto, Tyler Gleason, Will Fletcher, Justin Banaga, Kevin Sweetwood, Allen Ye, Rina Patel, Kevin C. McGill, Thomas M. Link, Jason C. Crane, Valentina Pedoia, Sharmila Majumdar:
Leveraging wisdom of the crowds to improve consensus among radiologists by real time, blinded collaborations on a digital swarm platform. CoRR abs/2107.07341 (2021) - 2020
- [c17]Francesco Calivá, Andrew P. Leynes, Rutwik Shah, Upasana Upadhyay Bharadwaj, Sharmila Majumdar, Peder E. Z. Larson, Valentina Pedoia:
Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation. MIDL 2020: 94-110 - [c16]Kaiyang Cheng, Francesco Calivá, Rutwik Shah, Misung Han, Sharmila Majumdar, Valentina Pedoia:
Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training. MIDL 2020: 121-135 - [i6]Aniket A. Tolpadi, Jinhee J. Lee, Valentina Pedoia, Sharmila Majumdar:
Deep learning predicts total knee replacement from magnetic resonance images. CoRR abs/2002.10591 (2020) - [i5]Nikan K. Namiri, Io Flament, Bruno Astuto, Rutwik Shah, Radhika Tibrewala, Francesco Calivá, Thomas M. Link, Valentina Pedoia, Sharmila Majumdar:
Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning. CoRR abs/2003.09089 (2020) - [i4]Arjun D. Desai, Francesco Calivá, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew A. Torigian, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR abs/2004.14003 (2020)
2010 – 2019
- 2019
- [j6]Berk Norman, Valentina Pedoia, Adam Noworolski, Thomas M. Link, Sharmila Majumdar:
Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs. J. Digit. Imaging 32(3): 471-477 (2019) - [c15]Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue
Adversarial Policy Gradient for Deep Learning Image Augmentation. MICCAI (6) 2019: 450-458 - [i3]Francesco Calivá, Claudia Iriondo, Alejandro Morales Martinez, Sharmila Majumdar, Valentina Pedoia:
Distance Map Loss Penalty Term for Semantic Segmentation. CoRR abs/1908.03679 (2019) - [i2]Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia:
Adversarial Policy Gradient for Deep Learning Image Augmentation. CoRR abs/1909.04108 (2019) - [i1]Justin D. Krogue, Kaiyang V. Cheng, Kevin M. Hwang, Paul Toogood, Eric G. Meinberg, Erik J. Geiger, Musa B. Zaid, Kevin C. McGill, Rina Patel, Jae Ho Sohn, Alexandra Wright, Bryan F. Darger, Kevin A. Padrez, Eugene Ozhinsky
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning. CoRR abs/1909.06326 (2019) - 2014
- [j5]Chien-Chun Yang, Mahesh B. Nagarajan, Markus B. Huber, Julio Carballido-Gamio, Jan S. Bauer, Thomas Baum
Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression. J. Electronic Imaging 23(1): 013013 (2014) - 2012
- [c14]Markus B. Huber, Chien-Chun Yang, Julio Carballido-Gamio, Jan S. Bauer, Thomas Baum
Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression. Computer-Aided Diagnosis 2012: 83151W - 2010
- [j4]Bing Wu, Chunsheng Wang, R. Krug, Douglas A. C. Kelley, Duan Xu
7T Human Spine Imaging Arrays With Adjustable Inductive Decoupling. IEEE Trans. Biomed. Eng. 57(2): 397-403 (2010)
2000 – 2009
- 2008
- [j3]Julio Carballido-Gamio, Jan S. Bauer, Robert Stahl, Keh-Yang Lee, Stefanie Krause, Thomas M. Link, Sharmila Majumdar:
Inter-subject comparison of MRI knee cartilage thickness. Medical Image Anal. 12(2): 120-135 (2008) - [c13]Janet Blumenfeld, Colin Studholme, Julio Carballido-Gamio, Thomas M. Link, Sharmila Majumdar:
Three-dimensional image registration of MR proximal femur images for the analysis of trabecular bone parameters. Image Processing 2008: 69140G - [c12]Roberto A. Monetti, Jan S. Bauer, Dirk Müller, Ernst J. Rummeny, Thomas M. Link, Sharmila Majumdar, Maiko Matsuura, Felix Eckstein, Irina Sidorenko
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. Image Processing 2008: 69144U - 2007
- [c11]Christoph W. Räth, Jan S. Bauer, Dirk Müller, Ernst J. Rummeny, Thomas M. Link, Sharmila Majumdar, Felix Eckstein, Roberto A. Monetti:
Analyzing µCT images of bone specimen with wavelets and scaling indices: Which texture measure does better to depict the trabecular bone structure? Image Processing 2007: 65124B - 2006
- [c10]Esin Ozturk
Partially Parallel MR Spectroscopic Imaging of Gliomas at 3T. EMBC 2006: 493-496 - [c9]Janine M. Lupo, Suchandrima Banerjee, Douglas A. C. Kelley, Duan Xu
Partially-parallel, susceptibility-weighted MR imaging of brain vasculature at 7 Tesla using sensitivity encoding and an autocalibrating parallel technique. EMBC 2006: 747-750 - [c8]Suchandrima Banerjee, Esin Ozturk-Isik
Fast magnetic resonance spectroscopic imaging at 3 Tesla using autocalibrating parallel technique. EMBC 2006: 1866-1869 - [c7]Suchandrima Banerjee, Sharmila Majumdar:
Characterization of high resolution MR images reconstructed by a GRAPPA based parallel technique. Image Processing 2006: 61446A - 2004
- [j2]Julio Carballido-Gamio, Serge J. Belongie
Normalized cuts in 3-D for spinal MRI segmentation. IEEE Trans. Medical Imaging 23(1): 36-44 (2004) - [c6]Holger F. Böhm, Christoph Räth, Roberto A. Monetti, David Newitt, Sharmila Majumdar, Ernst J. Rummeny, Gregor Morfill, Thomas M. Link:
Nicht-lineare Texturmaße basierend auf den Minkowski-Funktionalen in 3D: Vorhersage der Bruchlast trabekulärer Knochenpräparate durch Strukturanalyse hochauflösender MR-Aufnahmen. Bildverarbeitung für die Medizin 2004: 140-144 - [c5]Holger F. Böhm, Thomas M. Link, Roberto A. Monetti, Dirk Müller, Ernst J. Rummeny, David Newitt, Sharmila Majumdar, Christoph W. Räth:
Application of the Minkowski functionals in 3D to high-resolution MR images of trabecular bone: prediction of the biomechanical strength by nonlinear topological measures. Image Processing 2004 - [c4]Julio Carballido-Gamio, Catherine Klifa, Sharmila Majumdar, Nola Hylton:
Application of a fuzzy inference system to the quantification of 3D magnetic resonance imaging of breast tissue. Image Processing 2004 - 2003
- [c3]Holger F. Böhm, Christoph Räth, Roberto A. Monetti, Dirk Müller, David Newitt, Sharmila Majumdar, Ernst J. Rummeny, Thomas M. Link:
Application of the standard Hough-transform to high resolution MRI of human trabecular bone to predict mechanical strength. Image Processing 2003 - [c2]Roberto A. Monetti, Holger F. Böhm, Dirk Müller, David Newitt, Sharmila Majumdar, Ernst J. Rummeny, Thomas M. Link, Christoph Räth:
Scaling index method: a novel nonlinear technique for the analysis of high-resolution MRI of human bones. Image Processing 2003 - 2001
- [j1]Rachid Jennane
Fractal Analysis of Bone X-Ray Tomographic Microscopy Projections. IEEE Trans. Medical Imaging 20(5): 443-449 (2001)
1990 – 1999
- 1998
- [c1]Catherine S. Klifa, John C. Lin, Peter Augat
Texture analysis of hand radiographs to assess bone structure. Image Processing 1998
Coauthor Index
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