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ORCIDLasith Adhikari
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2010 – 2019
- 2019
[i3]Shounak Datta, Tyler J. Loftus, Matthew M. Ruppert, Chris Giordano, Lasith Adhikari, Ying-Chih Peng, Yuanfang Ren, Benjamin Shickel, Zheng Feng, Gloria Lipori, Gilbert R. Upchurch Jr., Xiaolin Li, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac:
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension. CoRR abs/1910.12895 (2019)- 2018
- [i2]Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Paul Thottakkara, Ashkan Ebadi, Amir Motaei, Parisa Rashidi, Xiaolin Li, Azra Bihorac:
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics. CoRR abs/1805.05452 (2018) - 2017
- [j1]Fei Wen
, Lasith Adhikari, Ling Pei, Roummel F. Marcia, Peilin Liu, Robert C. Qiu:
Nonconvex Regularization-Based Sparse Recovery and Demixing With Application to Color Image Inpainting. IEEE Access 5: 11513-11527 (2017) - [c14]Omar DeGuchy, Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia:
Photon-Limited fluorescence lifetime imaging microscopy signal recovery with known bounds. CAMSAP 2017: 1-5 - [c13]Mario Banuelos, Lasith Adhikari, Rubi Almanza, Andrew Fujikawa, Jonathan Sahagun, Katharine Sanderson, Melissa Spence, Suzanne Sindi, Roummel F. Marcia:
Sparse diploid spatial biosignal recovery for genomic variation detection. MeMeA 2017: 275-280 - [c12]Mario Banuelos, Lasith Adhikari, Rubi Almanza, Andrew Fujikawa, Jonathan Sahagun, Katharine Sanderson, Melissa Spence, Suzanne Sindi, Roummel F. Marcia:
Nonconvex regularization for sparse genomic variant signal detection. MeMeA 2017: 281-286 - [i1]Fei Wen, Lasith Adhikari, Ling Pei, Roummel F. Marcia, Peilin Liu, Robert C. Qiu:
Nonconvex Regularization Based Sparse Recovery and Demixing with Application to Color Image Inpainting. CoRR abs/1703.07967 (2017) - 2016
- [c11]Mario Banuelos, Rubi Almanza, Lasith Adhikari, Roummel F. Marcia, Suzanne Sindi:
Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage. EMBC 2016: 3490-3493 - [c10]Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia:
Sparse reconstruction for fluorescence lifetime imaging microscopy with poisson noise. GlobalSIP 2016: 262-266 - [c9]Mario Banuelos, Rubi Almanza, Lasith Adhikari, Suzanne Sindi, Roummel F. Marcia:
Sparse signal recovery methods for variant detection in next-generation sequencing data. ICASSP 2016: 864-868 - [c8]Aramayis Orkusyan, Lasith Adhikari, Joanna Valenzuela, Roummel F. Marcia:
Analysis of p-norm regularized subproblem minimization for sparse photon-limited image recovery. ICASSP 2016: 1407-1411 - [c7]Lasith Adhikari, Roummel F. Marcia:
Bounded sparse photon-limited image recovery. ICIP 2016: 3508-3512 - [c6]Jennifer B. Erway, Robert J. Plemmons, Lasith Adhikari, Roummel F. Marcia:
Trust-region methods for nonconvex sparse recovery optimization. ISITA 2016: 275-279 - [c5]Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia:
Nonconvex sparse poisson intensity reconstruction for time-dependent bioluminescence tomography. ISITA 2016: 280-284 - [c4]Mario Banuelos, Rubi Almanza, Lasith Adhikari, Roummel F. Marcia, Suzanne Sindi:
Sparse genomic structural variant detection: Exploiting parent-child relatedness for signal recovery. SSP 2016: 1-5 - 2015
- [c3]Lasith Adhikari, Roummel F. Marcia:
p-th Power total variation regularization in photon-limited imaging via iterative reweighting. EUSIPCO 2015: 1621-1625 - [c2]Lasith Adhikari, Roummel F. Marcia:
Nonconvex relaxation for Poisson intensity reconstruction. ICASSP 2015: 1483-1487 - [c1]Lasith Adhikari, Dianwen Zhu, Changqing Li, Roummel F. Marcia:
Nonconvex reconstruction for low-dimensional fluorescence molecular tomographic poisson observations. ICIP 2015: 2404-2408
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