Valentina Pedoia

32 papers B 2Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Foundations of a Knee Joint Digital Twin from qMRI Biomarkers for Osteoarthritis and Knee Replacement. CoRR Gabrielle Hoyer, Kenneth T. Gao, Felix G. Gassert, Johanna Luitjens, Fei Jiang, Sharmila Majumdar, Valentina Pedoia
2025	J	`jnl`	Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement. npj Digit. Medicine Gabrielle Hoyer, Kenneth T. Gao, Felix G. Gassert, Johanna Luitjens, Fei Jiang, Sharmila Majumdar, Valentina Pedoia
2025	J	`jnl`	Scalable Evaluation Framework for Foundation Models in Musculoskeletal MRI Bridging Computational Innovation with Clinical Utility. CoRR Gabrielle Hoyer, Michelle W. Tong, Rupsa Bhattacharjee, Valentina Pedoia, Sharmila Majumdar
2024	J	`jnl`	The object detection method aids in image reconstruction evaluation and clinical interpretation of meniscal abnormalities. CoRR Natalia Konovalova, Aniket A. Tolpadi, Felix Liu, Zehra Akkaya, Felix G. Gassert, Paula Giesler, Johanna Luitjens, Misung Han, Emma Bahroos, Sharmila Majumdar, Valentina Pedoia
2023	J	`jnl`	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 Rupsa Bhattacharjee, Zehra Akkaya, Johanna Luitjens, Pan Su, Yang Yang, Valentina Pedoia, Sharmila Majumdar
2023	J	`jnl`	Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications. J. Digit. Imaging 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
2022	J	`jnl`	Clinical language search algorithm from free-text: facilitating appropriate imaging. BMC Medical Imaging Gunvant R. Chaudhari, Yeshwant Reddy Chillakuru, Timothy L. Chen, Valentina Pedoia, Thienkhai Vu, Christopher Paul Hess, Youngho Seo, Jae Ho Sohn
2022	J	`jnl`	Surface spherical encoding and contrastive learning for virtual bone shape aging. Medical Image Anal. Francesco Calivá, Sarthak Kamat, Alejandro Morales Martinez, Sharmila Majumdar, Valentina Pedoia
2021	J	`jnl`	Leveraging wisdom of the crowds to improve consensus among radiologists by real time, blinded collaborations on a digital swarm platform. CoRR 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
2020	—	`conf`	Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training. MIDL Kaiyang Cheng, Francesco Calivá, Rutwik Shah, Misung Han, Sharmila Majumdar, Valentina Pedoia
2020	J	`jnl`	Adversarial Robust Training in MRI Reconstruction. CoRR Francesco Calivá, Kaiyang Cheng, Rutwik Shah, Valentina Pedoia
2020	—	`conf`	Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation. MIDL Francesco Calivá, Andrew P. Leynes, Rutwik Shah, Upasana Upadhyay Bharadwaj, Sharmila Majumdar, Peder E. Z. Larson, Valentina Pedoia
2020	J	`jnl`	Deep learning predicts total knee replacement from magnetic resonance images. CoRR Aniket A. Tolpadi, Jinhee J. Lee, Valentina Pedoia, Sharmila Majumdar
2020	J	`jnl`	Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning. CoRR Nikan K. Namiri, Io Flament, Bruno Astuto, Rutwik Shah, Radhika Tibrewala, Francesco Calivá, Thomas M. Link, Valentina Pedoia, Sharmila Majumdar
2020	J	`jnl`	The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR 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
2019	—	`conf`	Adversarial Policy Gradient for Deep Learning Image Augmentation. MICCAI (6) Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia
2019	J	`jnl`	Adversarial Policy Gradient for Deep Learning Image Augmentation. CoRR Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia
2019	J	`jnl`	Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs. J. Digit. Imaging Berk Norman, Valentina Pedoia, Adam Noworolski, Thomas M. Link, Sharmila Majumdar
2019	J	`jnl`	Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning. CoRR 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
2019	J	`jnl`	Computation and management of weighted activation vectors in support to fMRI analysis of clinical subjects. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Elisabetta Binaghi, Alberto A. Vergani, Andrea Montalbetti, Renzo Minotto, Valentina Pedoia, Sabina Strocchi, Sergio Balbi
2019	J	`jnl`	Distance Map Loss Penalty Term for Semantic Segmentation. CoRR Francesco Calivá, Claudia Iriondo, Alejandro Morales Martinez, Sharmila Majumdar, Valentina Pedoia
2018	J	`jnl`	Meningioma and peritumoral edema segmentation of preoperative MRI brain scans. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Elisabetta Binaghi, Valentina Pedoia, Sergio Balbi
2017	B	`conf`	Accuracy evaluation of soft classifiers using interval type-2 fuzzy sets framework. FUZZ-IEEE Elisabetta Binaghi, Alberto A. Vergani, Valentina Pedoia
2016	J	`jnl`	Collection and fuzzy estimation of truth labels in glial tumour segmentation studies. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Elisabetta Binaghi, Valentina Pedoia, Sergio Balbi
2015	—	`conf`	Fully Automatic Brain Tumor Segmentation by Using Competitive EM and Graph Cut. ICIAP (1) Valentina Pedoia, Sergio Balbi, Elisabetta Binaghi
2014	—	`conf`	Automatic Segmentation of MR Brain Tumor Images using Support Vector Machine in Combination with Graph Cut. IJCCI (NCTA) Elisabetta Binaghi, Massimo Omodei, Valentina Pedoia, Sergio Balbi, Desiree Lattanzi, Emanuele Monti
2013	—	`—`	Functional and structural MRI image analysis for brain glial tumors treatment. Valentina Pedoia
2012	B	`conf`	Glial brain tumor detection by using symmetry analysis. Image Processing Valentina Pedoia, Elisabetta Binaghi, Sergio Balbi, Alessandro De Benedictis, Emanuele Monti, Renzo Minotto
2012	—	`conf`	Graph based MRI analysis for evaluating the prognostic relevance of longitudinal brain atrophy estimation in post-traumatic diffuse axonal injury. CompIMAGE Emanuele Monti, Valentina Pedoia, Elisabetta Binaghi, Alessandro De Benedictis, Sergio Balbi
2012	—	`conf`	Hemispheric dominance evaluation by using fMRI activation weighted vector. CompIMAGE Valentina Pedoia, Sabina Strocchi, Renzo Minotto, Elisabetta Binaghi
2012	—	`conf`	Manual labeling strategy for ground truth estimation in MRI glial tumor segmentation. VIGTA@AVI Valentina Pedoia, Alessandro De Benedictis, Giuseppe Renis, Emanuele Monti, Sergio Balbi, Elisabetta Binaghi
2011	—	`conf`	Affine SPHARM Registration - Neural Estimation of Affine Transformation in Spherical Domain. VISAPP Valentina Pedoia, Ignazio Gallo, Elisabetta Binaghi