Valentina Pedoia

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 21

Top Topics

Semantic Segmentation

Magnetic Resonance

Tissue Segmentation

Top Venues

Comput. methods Biomech. Biomed. Eng. Imaging Vis.

J. Digit. Imaging

Publications

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 (2024)
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 (2023)
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) (2023)
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 (2022)
Gunvant R. Chaudhari, Yeshwant Reddy Chillakuru, Timothy L. Chen, Valentina Pedoia, Thienkhai Vu, Christopher Paul Hess, Youngho Seo, Jae Ho Sohn
Clinical language search algorithm from free-text: facilitating appropriate imaging. BMC Medical Imaging 22 (1) (2022)
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 (2021)
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)
Aniket A. Tolpadi, Jinhee J. Lee, Valentina Pedoia, Sharmila Majumdar
Deep learning predicts total knee replacement from magnetic resonance images. CoRR (2020)
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 (2020)
Francesco Calivá, Kaiyang Cheng, Rutwik Shah, Valentina Pedoia
Adversarial Robust Training in MRI Reconstruction. CoRR (2020)
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 (2020)
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)
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 (2019)
Francesco Calivá, Claudia Iriondo, Alejandro Morales Martinez, Sharmila Majumdar, Valentina Pedoia
Distance Map Loss Penalty Term for Semantic Segmentation. CoRR (2019)
Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia
Adversarial Policy Gradient for Deep Learning Image Augmentation. MICCAI (6) (2019)
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) (2019)
Elisabetta Binaghi, Alberto A. Vergani, Andrea Montalbetti, Renzo Minotto, Valentina Pedoia, Sabina Strocchi, Sergio Balbi
Computation and management of weighted activation vectors in support to fMRI analysis of clinical subjects. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7 (5-6) (2019)
Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia
Adversarial Policy Gradient for Deep Learning Image Augmentation. CoRR (2019)
Elisabetta Binaghi, Valentina Pedoia, Sergio Balbi
Meningioma and peritumoral edema segmentation of preoperative MRI brain scans. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6 (4) (2018)
Elisabetta Binaghi, Alberto A. Vergani, Valentina Pedoia
Accuracy evaluation of soft classifiers using interval type-2 fuzzy sets framework. FUZZ-IEEE (2017)
Elisabetta Binaghi, Valentina Pedoia, Sergio Balbi
Collection and fuzzy estimation of truth labels in glial tumour segmentation studies. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 4 (3-4) (2016)
Valentina Pedoia, Sergio Balbi, Elisabetta Binaghi
Fully Automatic Brain Tumor Segmentation by Using Competitive EM and Graph Cut. ICIAP (1) (2015)
Elisabetta Binaghi, Massimo Omodei, Valentina Pedoia, Sergio Balbi, Desiree Lattanzi, Emanuele Monti
Automatic Segmentation of MR Brain Tumor Images using Support Vector Machine in Combination with Graph Cut. IJCCI (NCTA) (2014)
Valentina Pedoia, Elisabetta Binaghi, Sergio Balbi, Alessandro De Benedictis, Emanuele Monti, Renzo Minotto
Glial brain tumor detection by using symmetry analysis. Medical Imaging: Image Processing (2012)
Emanuele Monti, Valentina Pedoia, Elisabetta Binaghi, Alessandro De Benedictis, Sergio Balbi
Graph based MRI analysis for evaluating the prognostic relevance of longitudinal brain atrophy estimation in post-traumatic diffuse axonal injury. CompIMAGE (2012)
Valentina Pedoia, Sabina Strocchi, Renzo Minotto, Elisabetta Binaghi
Hemispheric dominance evaluation by using fMRI activation weighted vector. CompIMAGE (2012)
Valentina Pedoia, Alessandro De Benedictis, Giuseppe Renis, Emanuele Monti, Sergio Balbi, Elisabetta Binaghi
Manual labeling strategy for ground truth estimation in MRI glial tumor segmentation. VIGTA@AVI (2012)
Valentina Pedoia, Ignazio Gallo, Elisabetta Binaghi
Affine SPHARM Registration - Neural Estimation of Affine Transformation in Spherical Domain. VISAPP (2011)