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ORCIDAdam M. Alessio
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- affiliation: Michigan State University, East Lansing, MI, USA
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2020 – today
- 2024
[i3]Jiancheng Yang, Rui Shi, Liang Jin, Xiaoyang Huang, Kaiming Kuang, Donglai Wei, Shixuan Gu, Jianying Liu, Pengfei Liu, Zhizhong Chai, Yongjie Xiao, Hao Chen, Liming Xu, Bang Du, Xiangyi Yan, Hao Tang, Adam M. Alessio, Gregory Holste, Jiapeng Zhang, Xiaoming Wang, Jianye He, Lixuan Che, Hanspeter Pfister, Ming Li, Bingbing Ni:
Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge. CoRR abs/2402.09372 (2024)- 2022
- [c18]Jonathan Burkow, Gregory Holste, Jeffrey Otjen, Francisco Perez, Joseph Junewick, Adam M. Alessio:
Avalanche decision schemes to improve pediatric rib fracture detection. Medical Imaging: Computer-Aided Diagnosis 2022 - 2021
- [j7]Mohamed Abouhawwash
, Adam M. Alessio:
Multi-Objective Evolutionary Algorithm for PET Image Reconstruction: Concept. IEEE Trans. Medical Imaging 40(8): 2142-2151 (2021) - [c17]Gregory Holste, Savannah C. Partridge, Habib Rahbar, Debosmita Biswas, Christoph I. Lee, Adam M. Alessio:
End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI. ICCVW 2021: 3287-3296 - [c16]Muneeza Azmat, Ethan Tu, Kelley R. Branch, Adam M. Alessio:
Machine learned versus analytical models for estimation of fractional flow reserve from CT-derived information. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c15]Ethan Tu, Muneeza Azmat, Kelley Branch, Adam M. Alessio:
Machine learned approach for estimating myocardial blood flow from dynamic CT and coronary artery disease risk factors. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - 2020
- [c14]Peter S. Carras, Carina Pereira, Debosmita Biswas, Christoph I. Lee, Savannah C. Partridge, Adam M. Alessio:
Genetic algorithm for machine learning architecture selection for breast MRI classification. Medical Imaging: Computer-Aided Diagnosis 2020 - [c13]Joseph Cox, Sydney Rubin, Joe Adams, Carina Pereira, Manjiri Dighe, Adam M. Alessio:
Hyperparameter selection for ResNet classification of malignancy from thyroid ultrasound images. Medical Imaging: Computer-Aided Diagnosis 2020 - [c12]Ryan Sullivan, Gregory Holste, Jonathan Burkow, Adam M. Alessio:
Deep learning methods for segmentation of lines in pediatric chest radiographs. Medical Imaging: Computer-Aided Diagnosis 2020 - [c11]Gregory Holste, Ryan Sullivan, Michael D. Bindschadler, Nicholas Nagy, Adam M. Alessio:
Multi-class semantic segmentation of pediatric chest radiographs. Medical Imaging: Image Processing 2020: 113131E
2010 – 2019
- 2019
- [j6]Ruoqiao Zhang, Dzenan Zukic, Darrin W. Byrd, Andinet Enquobahrie, Adam M. Alessio, Kevin Cleary, Filip Banovac, Paul E. Kinahan:
PET/CT-guided biopsy with respiratory motion correction. Int. J. Comput. Assist. Radiol. Surg. 14(12): 2187-2198 (2019) - 2018
- [c10]Carina Pereira, Manjiri Dighe, Adam M. Alessio:
Comparison of machine learned approaches for thyroid nodule characterization from shear wave elastography images. Medical Imaging: Computer-Aided Diagnosis 2018: 105751X - 2017
- [j5]Lin Fu, Tzu-Cheng Lee, Soo Mee Kim, Adam M. Alessio, Paul E. Kinahan, Zhiqian Chang, Ken D. Sauer, Mannudeep K. Kalra, Bruno De Man:
Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction. IEEE Trans. Medical Imaging 36(3): 707-720 (2017) - 2016
- [j4]David S. Perlmutter, Soo Mee Kim, Paul E. Kinahan, Adam M. Alessio:
Mixed Confidence Estimation for Iterative CT Reconstruction. IEEE Trans. Medical Imaging 35(9): 2005-2014 (2016) - [c9]Maitham D. Naeemi, Adam M. Alessio, Sohini Roychowdhury:
Automated selection of uniform regions for CT image quality detection. ACSSC 2016: 273-277 - [c8]Maitham D. Naeemi, Johnny Ren, Nathan Hollcroft, Adam M. Alessio, Sohini Roychowdhury:
Application of big data analytics for automated estimation of CT image quality. IEEE BigData 2016: 3422-3431 - [i2]Sohini Roychowdhury, Nathan Hollraft, Adam M. Alessio:
Blind Analysis of CT Image Noise Using Residual Denoised Images. CoRR abs/1605.07650 (2016) - [i1]Maitham D. Naeemi, Adam M. Alessio, Sohini Roychowdhury:
Automated Selection of Uniform Regions for CT Image Quality Detection. CoRR abs/1608.04381 (2016) - 2015
- [c7]Dimple Modgil, Michael D. Bindschadler, Adam M. Alessio, Patrick J. La Rivière:
Adaptive sampling of CT data for myocardial blood flow estimation from dose-reduced dynamic CT. Medical Imaging: Image Processing 2015: 941304 - 2014
- [c6]Dimple Modgil, Adam M. Alessio, Michael D. Bindschadler, Patrick J. La Rivière:
Adaptive temporal smoothing of sinogram data using Karhunen-Loeve (KL) transform for myocardial blood flow estimation from dose-reduced dynamic CT. Medical Imaging: Image Processing 2014: 903422 - 2011
- [c5]Adam M. Alessio, Patrick J. La Rivière:
Constrain static target kinetic iterative image reconstruction for 4D cardiac CT imaging. Computational Imaging 2011: 78730S - 2010
- [j3]Adam M. Alessio, Charles W. Stearns, Shan Tong, Steven G. Ross, Steve Kohlmyer, Alex Ganin, Paul E. Kinahan:
Application and Evaluation of a Measured Spatially Variant System Model for PET Image Reconstruction. IEEE Trans. Medical Imaging 29(3): 938-949 (2010) - [c4]Jimmy Xu, Nikhil Subramanian, Adam M. Alessio, Scott Hauck:
Impulse C vs. VHDL for Accelerating Tomographic Reconstruction. FCCM 2010: 171-174
2000 – 2009
- 2008
- [c3]Adam M. Alessio, Paul E. Kinahan:
Application of a spatially variant system model for 3-D whole-body pet image reconstruction. ISBI 2008: 1315-1318 - 2006
- [j2]Lixin Gong, Sayan D. Pathak, Adam M. Alessio, Paul E. Kinahan:
Automatic arm removal in PET and CT images for deformable registration. Comput. Medical Imaging Graph. 30(8): 469-477 (2006) - [j1]Adam M. Alessio, Paul E. Kinahan, Thomas K. Lewellen:
Modeling and Incorporation of System Response Functions in 3-D Whole Body PET. IEEE Trans. Medical Imaging 25(7): 828-837 (2006) - [c2]Paul E. Kinahan, Lawrence R. MacDonald, Lydia Ng, Adam M. Alessio, William Paul Segars, Benjamin M. W. Tsui, Sayan D. Pathak:
Compensating for patient respiration in PET/CT imaging with the registered and summed phases (RASP) procedure. ISBI 2006: 1104-1107 - 2005
- [c1]Adam M. Alessio, Paul E. Kinahan, Thomas K. Lewellen:
Improved quantitation for PET/CT image reconstruction with system modeling and anatomical priors. Medical Imaging: Image Processing 2005
Coauthor Index
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