Texture analysis of hand radiographs to assess bone structure. - Catherine S. Klifa; John C. Lin; Peter Augat; Thomas Fuerst; Yebin Jiang; Sharmila Majumdar; Harry K. Genant (Image Processing, 1998)

Fractal Analysis of Bone X-Ray Tomographic Microscopy Projections. - Rachid Jennane; William J. Ohley; Sharmila Majumdar; Gérald Lemineur (IEEE Trans. Medical Imaging, 2001)

Application of the standard Hough-transform to high resolution MRI of human trabecular bone to predict mechanical strength. - Holger F. Böhm; Christoph Räth; Roberto A. Monetti; Dirk Müller 001; David Newitt; Sharmila Majumdar; Ernst J. Rummeny; Thomas M. Link (Image Processing, 2003)

Scaling index method: a novel nonlinear technique for the analysis of high-resolution MRI of human bones. - Roberto A. Monetti; Holger F. Böhm; Dirk Müller 001; David Newitt; Sharmila Majumdar; Ernst J. Rummeny; Thomas M. Link; Christoph Räth (Image Processing, 2003)

Nicht-lineare Texturmaße basierend auf den Minkowski-Funktionalen in 3D: Vorhersage der Bruchlast trabekulärer Knochenpräparate durch Strukturanalyse hochauflösender MR-Aufnahmen. - Holger F. Böhm; Christoph Räth; Roberto A. Monetti; David Newitt; Sharmila Majumdar; Ernst J. Rummeny; Gregor Morfill; Thomas M. Link (Bildverarbeitung für die Medizin, 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. - Holger F. Böhm; Thomas M. Link; Roberto A. Monetti; Dirk Müller 001; Ernst J. Rummeny; David Newitt; Sharmila Majumdar; Christoph W. Räth (Image Processing, 2004)

Application of a fuzzy inference system to the quantification of 3D magnetic resonance imaging of breast tissue. - Julio Carballido-Gamio; Catherine Klifa; Sharmila Majumdar; Nola Hylton (Image Processing, 2004)

Normalized cuts in 3-D for spinal MRI segmentation. - Julio Carballido-Gamio; Serge J. Belongie; Sharmila Majumdar (IEEE Trans. Medical Imaging, 2004)

Fast magnetic resonance spectroscopic imaging at 3 Tesla using autocalibrating parallel technique. - Suchandrima Banerjee; Esin Ozturk-Isik; Sarah J. Nelson; Sharmila Majumdar (EMBC, 2006)

Partially-parallel, susceptibility-weighted MR imaging of brain vasculature at 7 Tesla using sensitivity encoding and an autocalibrating parallel technique. - Janine M. Lupo; Suchandrima Banerjee; Douglas A. C. Kelley; Duan Xu; Daniel B. Vigneron; Sharmila Majumdar; Sarah J. Nelson (EMBC, 2006)

Partially Parallel MR Spectroscopic Imaging of Gliomas at 3T. - Esin Ozturk; Suchandrima Banerjee; Sharmila Majumdar; Sarah J. Nelson (EMBC, 2006)

Characterization of high resolution MR images reconstructed by a GRAPPA based parallel technique. - Suchandrima Banerjee; Sharmila Majumdar (Image Processing, 2006)

Analyzing µCT images of bone specimen with wavelets and scaling indices: Which texture measure does better to depict the trabecular bone structure? - Christoph W. Räth; Jan S. Bauer; Dirk Müller 001; Ernst J. Rummeny; Thomas M. Link; Sharmila Majumdar; Felix Eckstein; Roberto A. Monetti (Image Processing, 2007)

Three-dimensional image registration of MR proximal femur images for the analysis of trabecular bone parameters. - Janet Blumenfeld; Colin Studholme; Julio Carballido-Gamio; Thomas M. Link; Sharmila Majumdar (Image Processing, 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. - Roberto A. Monetti; Jan S. Bauer; Dirk Müller 001; Ernst J. Rummeny; Thomas M. Link; Sharmila Majumdar; Maiko Matsuura; Felix Eckstein; Irina Sidorenko; Christoph Räth (Image Processing, 2008)

Inter-subject comparison of MRI knee cartilage thickness. - Julio Carballido-Gamio; Jan S. Bauer; Robert Stahl; Keh-Yang Lee; Stefanie Krause; Thomas M. Link; Sharmila Majumdar (Medical Image Anal., 2008)

7T Human Spine Imaging Arrays With Adjustable Inductive Decoupling. - 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 001 (IEEE Trans. Biomed. Eng., 2010)

Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression. - 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 (Computer-Aided Diagnosis, 2012)

Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression. - 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 (J. Electronic Imaging, 2014)

Adversarial Policy Gradient for Deep Learning Image Augmentation. - Kaiyang Cheng; Claudia Iriondo; Francesco Calivá; Justin Krogue; Sharmila Majumdar; Valentina Pedoia (MICCAI (6), 2019)

Distance Map Loss Penalty Term for Semantic Segmentation. - Francesco Calivá; Claudia Iriondo; Alejandro Morales Martinez; Sharmila Majumdar; Valentina Pedoia (CoRR, 2019)

Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning. - 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; et al. (CoRR, 2019)

Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs. - Berk Norman; Valentina Pedoia; Adam Noworolski; Thomas M. Link; Sharmila Majumdar (J. Digit. Imaging, 2019)

Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation. - Francesco Calivá; Andrew P. Leynes; Rutwik Shah; Upasana Upadhyay Bharadwaj; Sharmila Majumdar; Peder E. Z. Larson; Valentina Pedoia (MIDL, 2020)

Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training. - Kaiyang Cheng; Francesco Calivá; Rutwik Shah; Misung Han; Sharmila Majumdar; Valentina Pedoia (MIDL, 2020)

Deep learning predicts total knee replacement from magnetic resonance images. - Aniket A. Tolpadi; Jinhee J. Lee; Valentina Pedoia; Sharmila Majumdar (CoRR, 2020)

Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning. - Nikan K. Namiri; Io Flament; Bruno Astuto; Rutwik Shah; Radhika Tibrewala; Francesco Calivá; Thomas M. Link; Valentina Pedoia; Sharmila Majumdar (CoRR, 2020)

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. - 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; et al. (CoRR, 2020)

Leveraging wisdom of the crowds to improve consensus among radiologists by real time, blinded collaborations on a digital swarm platform. - 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; et al. (CoRR, 2021)

Surface spherical encoding and contrastive learning for virtual bone shape aging. - Francesco Calivá; Sarthak Kamat; Alejandro Morales Martinez; Sharmila Majumdar; Valentina Pedoia (Medical Image Anal., 2022)

Clinical validation of rapid GPU-enabled DTI tractography of the brain. - 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; et al. (High Performance Computing for Imaging, 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. - Rupsa Bhattacharjee; Zehra Akkaya; Johanna Luitjens; Pan Su; Yang Yang; Valentina Pedoia; Sharmila Majumdar (CoRR, 2023)

Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications. - 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; et al. (J. Digit. Imaging, 2023)

The object detection method aids in image reconstruction evaluation and clinical interpretation of meniscal abnormalities. - Natalia Konovalova; Aniket A. Tolpadi; Felix Liu; Zehra Akkaya; Felix G. Gassert; Paula Giesler; Johanna Luitjens; Misung Han; Emma Bahroos; Sharmila Majumdar; Valentina Pedoia (CoRR, 2024)

Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement. - Gabrielle Hoyer; Kenneth T. Gao; Felix G. Gassert; Johanna Luitjens; Fei Jiang; Sharmila Majumdar; Valentina Pedoia (npj Digit. Medicine, 2025)

Scalable Evaluation Framework for Foundation Models in Musculoskeletal MRI Bridging Computational Innovation with Clinical Utility. - Gabrielle Hoyer; Michelle W. Tong; Rupsa Bhattacharjee; Valentina Pedoia; Sharmila Majumdar (CoRR, 2025)