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John L. Nosher
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2020 – today
- 2023
- [i3]Xiao Qi, David J. Foran, John L. Nosher, Ilker Hacihaliloglu:
Multi-Scale Feature Fusion using Parallel-Attention Block for COVID-19 Chest X-ray Diagnosis. CoRR abs/2304.12988 (2023) - 2022
- [c13]Xiao Qi, David J. Foran, John L. Nosher, Ilker Hacihaliloglu:
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis. MILLanD@MICCAI 2022: 76-85 - [i2]Xiao Qi, David J. Foran, John L. Nosher, Ilker Hacihaliloglu:
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis. CoRR abs/2208.01843 (2022) - 2021
- [j8]Xiao Qi, Lloyd G. Brown, David J. Foran, John L. Nosher, Ilker Hacihaliloglu:
Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network. Int. J. Comput. Assist. Radiol. Surg. 16(2): 197-206 (2021) - [j7]Cosmas Mwikirize, Alvin B. Kimbowa, Sylvia Imanirakiza, Andrew Katumba, John L. Nosher, Ilker Hacihaliloglu:
Time-aware deep neural networks for needle tip localization in 2D ultrasound. Int. J. Comput. Assist. Radiol. Surg. 16(5): 819-827 (2021) - [j6]Hui Che, Lloyd G. Brown, David J. Foran, John L. Nosher, Ilker Hacihaliloglu:
Liver disease classification from ultrasound using multi-scale CNN. Int. J. Comput. Assist. Radiol. Surg. 16(9): 1537-1548 (2021) - [c12]Hui Che, Jared Radbel, Jag Sunderram, John L. Nosher, Vishal M. Patel, Ilker Hacihaliloglu:
Multi-feature Multi-Scale CNN-Derived COVID-19 Classification from Lung Ultrasound Data. EMBC 2021: 2618-2621 - [c11]Xiao Qi, David J. Foran, John L. Nosher, Ilker Hacihaliloglu:
Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-Ray Images. MLMI@MICCAI 2021: 151-160 - [c10]Hui Che, Sumana Ramanathan, David J. Foran, John L. Nosher, Vishal M. Patel, Ilker Hacihaliloglu:
Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease. ASMUS@MICCAI 2021: 179-188 - [i1]Hui Che, Sumana Ramanathan, David J. Foran, John L. Nosher, Vishal M. Patel, Ilker Hacihaliloglu:
Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease. CoRR abs/2107.12775 (2021)
2010 – 2019
- 2019
- [j5]Cosmas Mwikirize, John L. Nosher, Ilker Hacihaliloglu:
Learning needle tip localization from digital subtraction in 2D ultrasound. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1017-1026 (2019) - [c9]Cosmas Mwikirize, John L. Nosher, Ilker Hacihaliloglu:
Single Shot Needle Tip Localization in 2D Ultrasound. MICCAI (5) 2019: 637-645 - 2018
- [j4]Cosmas Mwikirize, John L. Nosher, Ilker Hacihaliloglu:
Signal attenuation maps for needle enhancement and localization in 2D ultrasound. Int. J. Comput. Assist. Radiol. Surg. 13(3): 363-374 (2018) - [j3]Cosmas Mwikirize, John L. Nosher, Ilker Hacihaliloglu:
Convolution neural networks for real-time needle detection and localization in 2D ultrasound. Int. J. Comput. Assist. Radiol. Surg. 13(5): 647-657 (2018) - 2017
- [c8]Cosmas Mwikirize, John L. Nosher, Ilker Hacihaliloglu:
Local Phase-Based Learning for Needle Detection and Localization in 3D Ultrasound. CARE/CLIP@MICCAI 2017: 108-115 - 2016
- [c7]Yan Wu, Emmanuel Zachariah, Judith Amorosa, Anjani Naidu, Mina L. Labib, Jamil Shaikh, Donna Eckstein, Sinae Kim, John E. Langenfeld, Joseph Aisner, John L. Nosher, Robert S. DiPaola, David J. Foran:
A Support Vector Machine based Prediction Model for Discrimination of Malignant Pulmonary Nodules from Benign Nodules. BIOIMAGING 2016: 129-133 - [c6]Cosmas Mwikirize, John L. Nosher, Ilker Hacihaliloglu:
Enhancement of Needle Tip and Shaft from 2D Ultrasound Using Signal Transmission Maps. MICCAI (1) 2016: 362-369 - 2011
- [j2]Shannon Agner, Salil Soman, Edward Libfeld, Margie McDonald, Kathleen Thomas, Sarah Englander, Mark A. Rosen, Deanna Chin, John L. Nosher, Anant Madabhushi:
Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification. J. Digit. Imaging 24(3): 446-463 (2011)
2000 – 2009
- 2009
- [j1]Gabriela Niculescu, John L. Nosher, M. D. Benjamin Schneider, David J. Foran:
A deformable model for tracking tumors across consecutive imaging studies. Int. J. Comput. Assist. Radiol. Surg. 4(4): 337-347 (2009) - [c5]Lin Yang, Leiguang Gong, Hong Zhang, John L. Nosher, David J. Foran:
A Parallel Point Matching Algorithm for Landmark Based Image Registration Using Multicore Platform. Euro-Par 2009: 936-947 - [c4]Hong Zhang, Lin Yang, David J. Foran, John L. Nosher, Peter J. Yim:
3D Segmentation of the Liver Using Free-Form Deformation Based on Boosting and Deformation Gradients. ISBI 2009: 494-497 - 2008
- [c3]Shannon C. Agner, Salil Soman, Edward Libfeld, Margie McDonald, Mark A. Rosen, Mitchell D. Schnall, Deanna Chin, John L. Nosher, Anant Madabhushi:
Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI. Computer-Aided Diagnosis 2008: 69152C - 2006
- [c2]Hong Zhang, John L. Nosher, Peter J. Yim:
Surface reconstruction from orthogonal contours. Image-Guided Procedures 2006: 61410D - 2002
- [c1]Gabriela Niculescu, Louay Toni, David J. Foran, John L. Nosher, Kevin J. DeMarco:
A Dynamic Imaging Database for 3-D Morphologic Analysis and Clinical Assessment in Diagnostic Radiology. AMIA 2002
Coauthor Index
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