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ORCIDMichael T. McCann
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2020 – today
- 2024
[j12]Avrajit Ghosh
, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar:
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization. SIAM J. Imaging Sci. 17(1): 31-60 (2024)- [i16]Evan Bell, Michael T. McCann, Marc Louis Klasky:
Supervised Reconstruction for Silhouette Tomography. CoRR abs/2402.07298 (2024) - [i15]Xiaojian Xu, Marc Louis Klasky, Michael T. McCann, Jason Hu, Jeffrey A. Fessler:
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction. CoRR abs/2410.10836 (2024) - 2023
- [j11]Michael T. McCann, Elena Guardincerri, Samuel M. Gonzales, Lauren A. Misurek, Jennifer L. Schei, Marc Louis Klasky:
Material Identification From Radiographs Without Energy Resolution. IEEE Trans. Computational Imaging 9: 314-326 (2023) - [c7]Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye:
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. CVPR 2023: 22542-22551 - [c6]Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky:
Score-Based Diffusion Models for Bayesian Image Reconstruction. ICIP 2023: 111-115 - [c5]Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye:
Diffusion Posterior Sampling for General Noisy Inverse Problems. ICLR 2023 - [i14]Weijie Gan, Qiuchen Zhai, Michael Thompson McCann, Cristina Garcia-Cardona, Ulugbek S. Kamilov, Brendt Wohlberg:
PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction. CoRR abs/2310.07504 (2023) - 2022
- [j10]Thilo Balke, Fernando Davis, Cristina Garcia-Cardona, Soumendu Majee, Michael T. McCann, Luke Pfister, Brendt Wohlberg:
Scientific Computational Imaging Code (SCICO). J. Open Source Softw. 7(78): 4722 (2022) - [c4]Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar:
Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC). ICASSP 2022: 1491-1495 - [i13]Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar:
Learning Sparsity-Promoting Regularizers using Bilevel Optimization. CoRR abs/2207.08939 (2022) - [i12]Hyungjin Chung, Jeongsol Kim, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye:
Diffusion Posterior Sampling for General Noisy Inverse Problems. CoRR abs/2209.14687 (2022) - [i11]Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye:
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models. CoRR abs/2211.10655 (2022) - 2021
- [j9]Harshit Gupta, Michael T. McCann, Laurène Donati, Michael Unser:
CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning. IEEE Trans. Computational Imaging 7: 759-774 (2021) - [j8]Siqi Ye, Zhipeng Li, Michael T. McCann, Yong Long, Saiprasad Ravishankar:
Unified Supervised-Unsupervised (SUPER) Learning for X-Ray CT Image Reconstruction. IEEE Trans. Medical Imaging 40(11): 2986-3001 (2021) - [i10]Zhishen Huang, Siqi Ye, Michael T. McCann, Saiprasad Ravishankar:
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond. CoRR abs/2103.14528 (2021) - [i9]Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar:
Bilevel learning of l1-regularizers with closed-form gradients(BLORC). CoRR abs/2111.10858 (2021) - [i8]Maliha Hossain, Balasubramanya T. Nadiga, Oleg Korobkin, Marc Louis Klasky, Jennifer L. Schei, Joshua W. Burby, Michael T. McCann, Trevor Wilcox, Soumi De, Charles A. Bouman:
High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features. CoRR abs/2112.01627 (2021) - 2020
- [d1]Michael T. McCann, Vincent Andrearczyk, Michael Unser, Adrien Depeursinge:
Code for "Fast Rotational Sparse Coding". Zenodo, 2020
- [i7]Michael T. McCann, Saiprasad Ravishankar:
Supervised Learning of Sparsity-Promoting Regularizers for Denoising. CoRR abs/2006.05521 (2020)
2010 – 2019
- 2019
- [j7]Michael T. McCann, Michael Unser:
Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks. Found. Trends Signal Process. 13(3): 283-359 (2019) - 2018
- [j6]Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser:
CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction. IEEE Trans. Medical Imaging 37(6): 1440-1453 (2018) - [c3]Michael T. McCann, Laura Vilaclara, Michael Unser:
Region of interest X-ray computed tomography via corrected back projection. ISBI 2018: 65-69 - [i6]Michael T. McCann, Michael Unser, Adrien Depeursinge:
Fast Rotational Sparse Coding. CoRR abs/1806.04374 (2018) - [i5]Emmanuel Soubies, Ferréol Soulez, Michael T. McCann, Thanh-An Pham, Laurène Donati, Thomas Debarre, Daniel Sage, Michael Unser:
Pocket Guide to Solve Inverse Problems with GlobalBioIm. CoRR abs/1812.07908 (2018) - 2017
- [j5]Michael T. McCann, Kyong Hwan Jin, Michael Unser:
Convolutional Neural Networks for Inverse Problems in Imaging: A Review. IEEE Signal Process. Mag. 34(6): 85-95 (2017) - [j4]Kyong Hwan Jin, Michael T. McCann, Emmanuel Froustey, Michael Unser:
Deep Convolutional Neural Network for Inverse Problems in Imaging. IEEE Trans. Image Process. 26(9): 4509-4522 (2017) - [j3]Michael T. McCann, Michael Unser:
High-Quality Parallel-Ray X-Ray CT Back Projection Using Optimized Interpolation. IEEE Trans. Image Process. 26(10): 4639-4647 (2017) - [i4]Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser:
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction. CoRR abs/1709.01809 (2017) - [i3]Michael T. McCann, Kyong Hwan Jin, Michael Unser:
A Review of Convolutional Neural Networks for Inverse Problems in Imaging. CoRR abs/1710.04011 (2017) - 2016
- [i2]Michael T. McCann, Matthew C. Fickus, Jelena Kovacevic:
Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel. CoRR abs/1606.02753 (2016) - [i1]Kyong Hwan Jin, Michael T. McCann, Emmanuel Froustey, Michael Unser:
Deep Convolutional Neural Network for Inverse Problems in Imaging. CoRR abs/1611.03679 (2016) - 2015
- [j2]Michael T. McCann, John A. Ozolek, Carlos A. Castro, Bahram Parvin, Jelena Kovacevic:
Automated Histology Analysis: Opportunities for signal processing. IEEE Signal Process. Mag. 32(1): 78-87 (2015) - 2014
- [j1]Michael T. McCann, Dustin G. Mixon, Matthew C. Fickus, Carlos A. Castro, John A. Ozolek, Jelena Kovacevic:
Images as Occlusions of Textures: A Framework for Segmentation. IEEE Trans. Image Process. 23(5): 2033-2046 (2014) - [c2]Michael T. McCann, Joshita Majumdar, Cheng Peng, Carlos A. Castro, Jelena Kovacevic:
Algorithm and benchmark dataset for stain separation in histology images. ICIP 2014: 3953-3957 - 2012
- [c1]Michael T. McCann, Ramamurthy Bhagavatula, Matthew C. Fickus, John A. Ozolek, Jelena Kovacevic:
Automated colitis detection from endoscopic biopsies as a tissue screening tool in diagnostic pathology. ICIP 2012: 2809-2812
Coauthor Index
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last updated on 2024-12-01 01:15 CET by the dblp team
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