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ORCIDSharmila 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, Jason C. Crane, Sharmila Majumdar:
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, Sharmila Majumdar, Valentina Pedoia:
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, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari:
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, Sharmila Majumdar, Valentina Pedoia:
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, Sharmila Majumdar, Valentina Pedoia:
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, Felix Eckstein, Eva Lochmüller, Sharmila Majumdar, Thomas M. Link, Axel Wismüller:
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, Mahesh B. Nagarajan, Felix Eckstein, Eva Lochmüller, Sharmila Majumdar, Thomas M. Link, Axel Wismüller:
Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression. Medical Imaging: Computer-Aided Diagnosis 2012: 83151W - 2010
- [j4]Bing Wu, Chunsheng Wang, R. Krug, Douglas A. C. Kelley, Duan Xu, Yong Pang, Suchandrima Banerjee, Daniel B. Vigneron, Sarah J. Nelson, Sharmila Majumdar, Xiaoliang Zhang:
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. Medical Imaging: 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, Christoph Räth:
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. Medical Imaging: 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? Medical Imaging: Image Processing 2007: 65124B - 2006
- [c10]Esin Ozturk, Suchandrima Banerjee, Sharmila Majumdar, Sarah J. Nelson:
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, Daniel B. Vigneron, Sharmila Majumdar, Sarah J. Nelson:
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, Sarah J. Nelson, Sharmila Majumdar:
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. Medical Imaging: Image Processing 2006: 61446A - 2004
- [j2]Julio Carballido-Gamio, Serge J. Belongie, Sharmila Majumdar:
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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: Image Processing 2003 - 2001
- [j1]Rachid Jennane, William J. Ohley, Sharmila Majumdar, Gérald Lemineur:
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, Thomas Fuerst, Yebin Jiang, Sharmila Majumdar, Harry K. Genant:
Texture analysis of hand radiographs to assess bone structure. Medical Imaging: Image Processing 1998
Coauthor Index
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