Mark A. Anastasio

Earth and Planetary SciencesEngineering

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 5%percentile

0.455Author DataRank

Indexed papers

2in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics

Medical Physics(2024)10.1002/mp.17473

Top 42%

0.455DataRank

Top 42%9 citations

Varun A. Kelkar, Dimitrios S. Gotsis, Prabhat KC, Rongping Zeng, Kyle J. Myers +3 more

Papers

Driven by 73 papers — median percentile 29. Top paper: “Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics”.

Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics

Medical Physics(2024)10.1002/mp.17473

Top 42%

0.455DataRank

Top 42%9 citations

Varun A. Kelkar, Dimitrios S. Gotsis, Prabhat KC, Rongping Zeng, Kyle J. Myers +3 more

LensPlus: a high space-bandwidth optical imaging technique

Biomedical Optics Express(2025)10.1364/boe.580164

N/A

0.208DataRank · unranked

3 citations

Mark A. Anastasio, Neha Goswami

Decoding visual information from high-density diffuse optical tomography neuroimaging data

NeuroImage(2020)10.1016/j.neuroimage.2020.117516

N/A

0DataRank · unranked

22 citations

Zachary E. Markow, Andrew K. Fishell, Arefeh Sherafati, Tracy M. Burns‐Yocum, Mariel L. Schroeder +6 more

Joint reconstruction of initial pressure distribution and spatial distribution of acoustic properties of elastic media with application to transcranial photoacoustic tomography

Inverse Problems(2020)10.1088/1361-6420/abc7ce

N/A

0DataRank · unranked

20 citations

Mark A. Anastasio, Joemini Poudel

Gold nanorods enable noninvasive longitudinal monitoring of hydrogels in vivo with photoacoustic tomography

Acta Biomaterialia(2020)10.1016/j.actbio.2020.09.048

N/A

0DataRank · unranked

18 citations

Katerina Stojkova, Rich Yi, Mark A. Anastasio, Jing Yong Ye, Eric M. Brey +1 more

Approximating the Ideal Observer for Joint Signal Detection and Localization Tasks by use of Supervised Learning Methods

IEEE Transactions on Medical Imaging(2020)10.1109/tmi.2020.3009022

N/A

0DataRank · unranked

14 citations

Hua Li, Mark A. Anastasio, Weimin Zhou

A partial-dithering strategy for edge-illumination x-ray phase-contrast tomography enabled by a joint reconstruction method

Physics in Medicine and Biology(2020)10.1088/1361-6560/ab66e2

N/A

0DataRank · unranked

5 citations

Charlotte K. Hagen, Alessandro Olivo, Mark A. Anastasio, Yujia Chen

Optimal breast cancer diagnostic strategy using combined ultrasound and diffuse optical tomography

Biomedical Optics Express(2020)10.1364/boe.389275

N/A

0DataRank · unranked

23 citations

Menghao Zhang, Mark A. Anastasio, Quing Zhu, K. M. Shihab Uddin

Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements

arXiv (Cornell University)(2020)10.48550/arxiv.2001.09523

N/A

0DataRank · unranked

1 citations

Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio, Weimin Zhou

Learning Numerical Observers using Unsupervised Domain Adaptation

arXiv (Cornell University)(2020)10.48550/arxiv.2002.03763

N/A

0DataRank · unranked

0 citations

Weimin Zhou, Hua Li, Mark A. Anastasio, Shenghua He

Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks

IEEE Transactions on Medical Imaging(2021)10.1109/tmi.2021.3076810

N/A

0DataRank · unranked

67 citations

Weimin Zhou, Hua Li, Mark A. Anastasio, Kaiyan Li

3D microscopy and deep learning reveal the heterogeneity of crown-like structure microenvironments in intact adipose tissue

Science Advances(2021)10.1126/sciadv.abe2480

N/A

0DataRank · unranked

61 citations

Xiaohui Zhang, Suma Prabhu, Sayyed Hamed Shahoei, Erik R. Nelson, Kelly S. Swanson +3 more

3-D Stochastic Numerical Breast Phantoms for Enabling Virtual Imaging Trials of Ultrasound Computed Tomography

IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control(2021)10.1109/tuffc.2021.3112544

N/A

0DataRank · unranked

45 citations

Umberto Villa, Seonyeong Park, Mark A. Anastasio, Fu Li

Impact of deep learning-based image super-resolution on binary signal detection

Journal of Medical Imaging(2021)10.1117/1.jmi.8.6.065501

N/A

0DataRank · unranked

24 citations

Varun A. Kelkar, Jason Granstedt, Hua Li, Mark A. Anastasio, Xiaohui Zhang

A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods

IEEE Transactions on Medical Imaging(2021)10.1109/tmi.2021.3135147

N/A

0DataRank · unranked

13 citations

Weimin Zhou, Hua Li, Mark A. Anastasio, Kaiyan Li

A Multivariate Functional Connectivity Approach to Mapping Brain Networks and Imputing Neural Activity in Mice

Cerebral Cortex(2021)10.1093/cercor/bhab282

N/A

0DataRank · unranked

11 citations

Xiaohui Zhang, Annie R. Bice, Seana H Gaines, Eric C. Landsness, Jin‐Moo Lee +3 more

On Hallucinations in Tomographic Image Reconstruction

IEEE Transactions on Medical Imaging(2021)10.1109/tmi.2021.3077857

N/A

0DataRank · unranked

8 citations

Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio, Sayantan Bhadra

A signal detection model for quantifying overregularization in nonlinear image reconstruction

Medical Physics(2021)10.1002/mp.14703

N/A

0DataRank · unranked

4 citations

John Paul Phillips, Weimin Zhou, Greg Ongie, Juan P. Cruz‐Bastida, Ingrid Reiser +3 more

Cell cycle stage classification using phase imaging with computational specificity

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.05.467526

N/A

0DataRank · unranked

3 citations

Shenghua He, Mikhail E. Kandel, Young Jae Lee, Chenfei Hu, Nahil Sobh +3 more

Advancing the AmbientGAN for learning stochastic object models

arXiv (Cornell University)(2021)10.48550/arxiv.2102.00281

N/A

0DataRank · unranked

1 citations

Sayantan Bhadra, Frank J. Brooks, Jason Granstedt, Hua Li, Mark A. Anastasio +1 more

StyleGAN2 trained on MR brain and face images: network weights

Illinois Data Bank(2021)10.13012/b2idb-4499850_v1

Top 100%

0DataRank

Top 100%0 citations

Mark A. Anastasio, Varun A. Kelkar

A Method for Evaluating Deep Generative Models of Images via Assessing the Reproduction of High-order Spatial Context

arXiv (Cornell University)(2021)10.48550/arxiv.2111.12577

N/A

0DataRank · unranked

0 citations

Mark A. Anastasio, Frank J. Brooks, R. Deshpande

Normalization of optical fluence distribution for three-dimensional functional optoacoustic tomography of the breast

Journal of Biomedical Optics(2022)10.1117/1.jbo.27.3.036001

N/A

0DataRank · unranked

18 citations

Frank J. Brooks, Umberto Villa, Richard Su, Mark A. Anastasio, Alexander A. Oraevsky +1 more

Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks

Journal of Medical Imaging(2022)10.1117/1.jmi.9.1.015503

N/A

0DataRank · unranked

14 citations

Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio, Weimin Zhou

Computing a projection operator onto the null space of a linear imaging operator: tutorial

Journal of the Optical Society of America A(2022)10.1364/josaa.443443

N/A

0DataRank · unranked

5 citations

Jason Granstedt, Umberto Villa, Mark A. Anastasio, Joseph Kuo

Contrast-free Super-resolution Doppler (CS Doppler) based on Deep Generative Neural Networks

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.09.29.510188

N/A

0DataRank · unranked

1 citations

Matthew R. Lowerison, YiRang Shin, Xi Chen, Nathiya Vaithiyalingam Chandra Sekaran, Zhijie Dong +4 more

Image reconstruction in phase-contrast CT with shortened scans

7th International Conference on Image Formation in X-Ray Computed Tomography(2022)10.1117/12.2646432

N/A

0DataRank · unranked

1 citations

Buxin Chen, Dan Xia, Emil Y. Sidky, Mark A. Anastasio, Xiaochuan Pan +1 more

Application of DatasetGAN in medical imaging: preliminary studies

arXiv (Cornell University)(2022)10.48550/arxiv.2202.13463

N/A

0DataRank · unranked

0 citations

Varun A. Kelkar, Mark A. Anastasio, Hua Li, Zong Min Fan

Prior image-based medical image reconstruction using a style-based generative adversarial network

arXiv (Cornell University)(2022)10.48550/arxiv.2202.08936

N/A

0DataRank · unranked

0 citations

Mark A. Anastasio, Varun A. Kelkar

Contrast-Free Super-Resolution Power Doppler (CS-PD) Based on Deep Neural Networks

IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control(2023)10.1109/tuffc.2023.3304527

N/A

0DataRank · unranked

33 citations

Matthew R. Lowerison, YiRang Shin, Xi Chen, Nathiya Vaithiyalingam Chandra Sekaran, Zhijie Dong +4 more

Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2023.3241454

N/A

0DataRank · unranked

38 citations

Dimitrios S. Gotsis, Frank J. Brooks, Prabhat KC, Kyle J. Myers, Rongping Zeng +2 more

Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancer

Journal of Biomedical Optics(2023)10.1117/1.jbo.28.6.066002

N/A

0DataRank · unranked

19 citations

Umberto Villa, Fu Li, Refik Mert Cam, Alexander A. Oraevsky, Mark A. Anastasio +1 more

Ideal Observer Computation by Use of Markov-Chain Monte Carlo With Generative Adversarial Networks

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2023.3304907

N/A

0DataRank · unranked

11 citations

Umberto Villa, Mark A. Anastasio, Weimin Zhou

A Forward Model Incorporating Elevation-Focused Transducer Properties for 3-D Full-Waveform Inversion in Ultrasound Computed Tomography

IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control(2023)10.1109/tuffc.2023.3313549

N/A

0DataRank · unranked

12 citations

Umberto Villa, Nebojsa Duric, Mark A. Anastasio, Fu Li

Approximating the Hotelling observer with autoencoder-learned efficient channels for binary signal detection tasks

Journal of Medical Imaging(2023)10.1117/1.jmi.10.5.055501

N/A

0DataRank · unranked

5 citations

Weimin Zhou, Mark A. Anastasio, Jason Granstedt

Investigating the robustness of a deep learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions

Physics in Medicine and Biology(2023)10.1088/1361-6560/acc2aa

N/A

0DataRank · unranked

6 citations

Ashish Avachat, Frank J. Brooks, Mark A. Anastasio, Rucha Deshpande

Identifying Naturalistic Movies from Human Brain Activity with High-Density Diffuse Optical Tomography

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.27.566650

N/A

0DataRank · unranked

3 citations

Kalyan Tripathy, Alexandra M. Svoboda, Mariel L. Schroeder, Sean M. Rafferty, Edward J. Richter +9 more

Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography

arXiv (Cornell University)(2023)10.48550/arxiv.2311.10193

N/A

0DataRank · unranked

1 citations

Fu Li, Mitcham, Trevor M., Umberto Villa, Duric, Nebojsa, Mark A. Anastasio +1 more

Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks

arXiv (Cornell University)(2023)10.48550/arxiv.2304.00433

N/A

0DataRank · unranked

0 citations

Umberto Villa, Mark A. Anastasio, Weimin Zhou

High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models

arXiv (Cornell University)(2023)10.48550/arxiv.2306.08630

N/A

0DataRank · unranked

0 citations

Xi Peng, Varun A. Kelkar, Mark A. Anastasio, Fan Lam, Ruiyang Zhao

Machine learning assisted health viability assay for mouse embryos with artificial confocal microscopy (ACM)

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.30.550591

N/A

0DataRank · unranked

0 citations

Nicola Winston, Won‐Ho Choi, Nastasia Z. E. Lai, Rachel B. Arcanjo, Xi Chen +5 more

Deep learning-based image super-resolution of a novel end-expandable optical fiber probe for application in esophageal cancer diagnostics

arXiv (Cornell University)(2023)10.48550/arxiv.2310.02171

N/A

0DataRank · unranked

0 citations

Mimi C. Tan, Mansour Nabil, Shukla, Richa, Shaleen Vasavada, Sharmila Anandasabapathy +3 more

Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography

arXiv (Cornell University)(2023)10.48550/arxiv.2308.16290

N/A

0DataRank · unranked

0 citations

Hanchen Wang, Fu Li, Mark A. Anastasio, Brendt Wohlberg, Youzuo Lin +2 more

Context-aware deep learning enables high-efficacy localization of high concentration microbubbles for super-resolution ultrasound localization microscopy

Nature Communications(2024)10.1038/s41467-024-47154-2

N/A

0DataRank · unranked

73 citations

Matthew R. Lowerison, Yike Wang, Xi Chen, Qi You, Zhijie Dong +3 more

A Test Statistic Estimation-Based Approach for Establishing Self-Interpretable CNN-Based Binary Classifiers

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2023.3348699

N/A

0DataRank · unranked

15 citations

Mark A. Anastasio, Sourya Sengupta

Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography

IEEE Transactions on Computational Imaging(2024)10.1109/tci.2024.3351529

N/A

0DataRank · unranked

14 citations

Hanchen Wang, Fu Li, Mark A. Anastasio, Brendt Wohlberg, Youzuo Lin +2 more

EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool

Communications Biology(2024)10.1038/s42003-024-05960-w

N/A

0DataRank · unranked

13 citations

Nicola Winston, Won‐Ho Choi, Nastasia Z. E. Lai, Rachel B. Arcanjo, Xi Chen +5 more

Assessing the Capacity of a Denoising Diffusion Probabilistic Model to Reproduce Spatial Context

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3414931

N/A

0DataRank · unranked

13 citations

Muzaffer Özbey, Hua Li, Mark A. Anastasio, Frank J. Brooks, Rucha Deshpande

Full-Wave Image Reconstruction in Transcranial Photoacoustic Computed Tomography Using a Finite Element Method

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3456595

N/A

0DataRank · unranked

10 citations

Hsuan‐Kai Huang, Karteekeya Sastry, Peng Hu, Xin Tong, Joseph Kuo +6 more

Attention-based CNN-BiLSTM for sleep state classification of spatiotemporal wide-field calcium imaging data

Journal of Neuroscience Methods(2024)10.1016/j.jneumeth.2024.110250

N/A

0DataRank · unranked

7 citations

Eric C. Landsness, Hanyang Miao, Wei Chen, Michelle Tang, Lindsey M. Brier +4 more

Deep-learning-based image super-resolution of an end-expandable optical fiber probe for application in esophageal cancer diagnostics

Journal of Biomedical Optics(2024)10.1117/1.jbo.29.4.046001

N/A

0DataRank · unranked

5 citations

Mimi C. Tan, Mansour Nabil, Richa Shukla, Shaleen Vasavada, Sharmila Anandasabapathy +3 more

Quantitative phase imaging techniques for measuring scattering properties of cells and tissues: a review—part I

Journal of Biomedical Optics(2024)10.1117/1.jbo.29.s2.s22713

N/A

0DataRank · unranked

7 citations

Mark A. Anastasio, Gabriel Popescu, Neha Goswami

Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography

IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control(2024)10.1109/tuffc.2024.3459391

N/A

0DataRank · unranked

7 citations

Fu Li, Trevor Mitcham, Umberto Villa, Nebojsa Duric, Mark A. Anastasio +1 more

Spatiotemporal image reconstruction to enable high-frame-rate dynamic photoacoustic tomography with rotating-gantry volumetric imagers

Journal of Biomedical Optics(2024)10.1117/1.jbo.29.s1.s11516

N/A

0DataRank · unranked

5 citations

Chao Wang, Weylan Thompson, Sergey A. Ermilov, Mark A. Anastasio, Umberto Villa +1 more

ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction

IEEE Transactions on Computational Imaging(2024)10.1109/tci.2024.3458397

N/A

0DataRank · unranked

5 citations

Refik Mert Çam, Mark D. Pagel, Mark A. Anastasio, Umberto Villa, Luke Lozenski

High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models

IEEE Transactions on Biomedical Engineering(2024)10.1109/tbme.2024.3358223

N/A

0DataRank · unranked

5 citations

Xi Peng, Varun A. Kelkar, Mark A. Anastasio, Fan Lam, Ruiyang Zhao

Optimizing quantitative photoacoustic imaging systems: the Bayesian Cramér–Rao bound approach

Inverse Problems(2024)10.1088/1361-6420/ad910a

N/A

0DataRank · unranked

3 citations

Mark A. Anastasio, Umberto Villa, Evan Scope Crafts

A method for evaluating deep generative models of images for hallucinations in high-order spatial context

Pattern Recognition Letters(2024)10.1016/j.patrec.2024.08.023

N/A

0DataRank · unranked

3 citations

Mark A. Anastasio, Frank J. Brooks, Rucha Deshpande

Application of learned ideal observers for estimating task-based performance bounds for computed imaging systems

Journal of Medical Imaging(2024)10.1117/1.jmi.11.2.026002

N/A

0DataRank · unranked

2 citations

Umberto Villa, Hua Li, Mark A. Anastasio, Kaiyan Li

ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction

arXiv (Cornell University)(2024)10.48550/arxiv.2403.03860

N/A

0DataRank · unranked

0 citations

Refik Mert Çam, Pagel, Mark D., Mark A. Anastasio, Umberto Villa, Luke Lozenski

Learning a stable approximation of an existing but unknown inverse mapping: application to the half-time circular Radon transform

Inverse Problems(2024)10.1088/1361-6420/ad4f0a

N/A

0DataRank · unranked

0 citations

Umberto Villa, Mark A. Anastasio, Refik Mert Çam

Introducing the Special Issue Honoring Lihong V. Wang, Pioneer in Biomedical Optics

Journal of Biomedical Optics(2024)10.1117/1.jbo.29.s1.s11500

N/A

0DataRank · unranked

0 citations

Mark A. Anastasio, Hao F. Zhang, Sava Sakadžić, Song Hu, Liang Gao +1 more

Revisiting the joint estimation of initial pressure and speed-of-sound distributions in photoacoustic computed tomography with consideration of canonical object constraints

arXiv (Cornell University)(2024)10.48550/arxiv.2410.04278

N/A

0DataRank · unranked

0 citations

Umberto Villa, Mark A. Anastasio, Gangwon Jeong

Fast aberration correction in 3D transcranial photoacoustic computed tomography via a learning-based image reconstruction method

Photoacoustics(2025)10.1016/j.pacs.2025.100698

N/A

0DataRank · unranked

5 citations

Joseph Kuo, Yang Zhang, Yousuf Aborahama, Manxiu Cui, Karteekeya Sastry +5 more

Revisiting the joint estimation of initial pressure and speed-of-sound distributions in photoacoustic computed tomography with consideration of canonical object constraints

Photoacoustics(2025)10.1016/j.pacs.2025.100700

N/A

0DataRank · unranked

5 citations

Umberto Villa, Mark A. Anastasio, Gangwon Jeong

Application of a virtual imaging framework for investigating a deep learning-based reconstruction method for 3D quantitative photoacoustic computed tomography

Photoacoustics(2025)10.1016/j.pacs.2025.100792

N/A

0DataRank · unranked

1 citations

Seonyeong Park, Umberto Villa, Mark A. Anastasio, Refik Mert Cam

Estimating task-based performance bounds for accelerated MRI image reconstruction methods by use of learned-ideal observers

PubMed(2025)10.1117/12.3047604

N/A

0DataRank · unranked

1 citations

Hua Li, Kyle J. Myers, Mark A. Anastasio, Kaiyan Li

Learned Correction Methods for Ultrasound Computed Tomography Imaging Using Simplified Physics Models

arXiv (Cornell University)(2025)10.48550/arxiv.2502.09546

N/A

0DataRank · unranked

0 citations

Hanchen Wang, Li Fu, Mark A. Anastasio, Brendt Wohlberg, Youzuo Lin +2 more

Semisupervised semantic segmentation of cell nuclei with diffusion model

(2025)10.1117/12.3047209

N/A

0DataRank · unranked

0 citations

Sourya Sengupta, Mark A. Anastasio, Hua Li, Zhuchen Shao

On the utility of virtual staining for downstream applications as it relates to task network capacity

Biomedical Optics Express(2025)10.1364/boe.576061

N/A

0DataRank · unranked

0 citations

Jianquan Xu, Phuong Nguyen, Frank J. Brooks, Yang Liu, Mark A. Anastasio +1 more

Deeply-supervised density regression for automatic cell counting in microscopy images

Medical Image Analysis(2020)10.1016/j.media.2020.101892

N/A

0DataRank · unranked

80 citations

Kyaw Thu Minn, Lilianna Solnica‐Krezel, Mark A. Anastasio, Hua Li, Shenghua He

Approximating the ideal observer for joint signal detection and estimation tasks by the use of Markov-Chain Monte Carlo with generative adversarial networks

Journal of Medical Imaging(2025)10.1117/1.jmi.12.5.051810

N/A

0DataRank · unranked

0 citations

Kaiyan Li, Weimin Zhou, Mark A. Anastasio, Dan Li

Iterative image reconstruction in transcranial photoacoustic tomography based on the elastic wave equation

Physics in Medicine and Biology(2020)10.1088/1361-6560/ab6b46

N/A

0DataRank · unranked

50 citations

Shuai Na, Lihong V. Wang, Mark A. Anastasio, Joemini Poudel

Mark A. Anastasio

Indexed papers

Top data-sharing exemplar

Papers