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2020 – today
- 2024
[i10]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
- [j7]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) - [i9]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
- [j6]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): 18 (2022) - [j5]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
- [i8]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
- [c11]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 - [c10]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 - [i7]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) - [i6]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) - [i5]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) - [i4]Francesco Calivá, Kaiyang Cheng, Rutwik Shah, Valentina Pedoia:
Adversarial Robust Training in MRI Reconstruction. CoRR abs/2011.00070 (2020)
2010 – 2019
- 2019
- [j4]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): 563-582 (2019) - [j3]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) - [c9]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) - 2018
- [j2]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): 362-370 (2018) - 2017
- [c8]Elisabetta Binaghi, Alberto A. Vergani, Valentina Pedoia:
Accuracy evaluation of soft classifiers using interval type-2 fuzzy sets framework. FUZZ-IEEE 2017: 1-6 - 2016
- [j1]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): 214-228 (2016) - 2015
- [c7]Valentina Pedoia, Sergio Balbi, Elisabetta Binaghi:
Fully Automatic Brain Tumor Segmentation by Using Competitive EM and Graph Cut. ICIAP (1) 2015: 568-578 - 2014
- [c6]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: 152-157 - 2013
- [b1]Valentina Pedoia:
Functional and structural MRI image analysis for brain glial tumors treatment. University of Insubria, Italy, 2013 - 2012
- [c5]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: 297-302 - [c4]Valentina Pedoia, Sabina Strocchi, Renzo Minotto, Elisabetta Binaghi:
Hemispheric dominance evaluation by using fMRI activation weighted vector. CompIMAGE 2012: 303-306 - [c3]Valentina Pedoia, Elisabetta Binaghi, Sergio Balbi, Alessandro De Benedictis, Emanuele Monti, Renzo Minotto:
Glial brain tumor detection by using symmetry analysis. Image Processing 2012: 831445 - [c2]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: 8 - 2011
- [c1]Valentina Pedoia, Ignazio Gallo, Elisabetta Binaghi:
Affine SPHARM Registration - Neural Estimation of Affine Transformation in Spherical Domain. VISAPP 2011: 197-200
Coauthor Index
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