default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMichael T. McCann
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 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)- 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) - 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 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 - 2022
- [c4]Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar:
Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC). ICASSP 2022: 1491-1495 - 2018
- [c3]Michael T. McCann, Laura Vilaclara, Michael Unser:
Region of interest X-ray computed tomography via corrected back projection. ISBI 2018: 65-69 - 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
Data and Artifacts
- 2020
- [d1]Michael T. McCann, Vincent Andrearczyk, Michael Unser, Adrien Depeursinge:
Code for "Fast Rotational Sparse Coding". Zenodo, 2020
Informal and Other Publications
- 2024
- [i15]Evan Bell, Michael T. McCann, Marc Louis Klasky:
Supervised Reconstruction for Silhouette Tomography. CoRR abs/2402.07298 (2024) - 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
- [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
- [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
- [i7]Michael T. McCann, Saiprasad Ravishankar:
Supervised Learning of Sparsity-Promoting Regularizers for Denoising. CoRR abs/2006.05521 (2020) - 2018
- [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
- [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)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-25 20:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
