Lasith Adhikari

Publication Activity (10 Years)

Years Active: 2015-2019
Publications (10 Years): 15

Top Topics

Signal Recovery

Sparse Reconstruction

Total Variation Regularization

Top Venues

Publications

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 (2019)
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 (2018)
Omar DeGuchy, Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia
Photon-Limited fluorescence lifetime imaging microscopy signal recovery with known bounds. CAMSAP (2017)
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 (2017)
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)
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)
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 (2017)
Aramayis Orkusyan, Lasith Adhikari, Joanna Valenzuela, Roummel F. Marcia
Analysis of p-norm regularized subproblem minimization for sparse photon-limited image recovery. ICASSP (2016)
Mario Banuelos, Rubi Almanza, Lasith Adhikari, Roummel F. Marcia, Suzanne Sindi
Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage. EMBC (2016)
Jennifer B. Erway, Robert J. Plemmons, Lasith Adhikari, Roummel F. Marcia
Trust-region methods for nonconvex sparse recovery optimization. ISITA (2016)
Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia
Sparse reconstruction for fluorescence lifetime imaging microscopy with poisson noise. GlobalSIP (2016)
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)
Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia
Nonconvex sparse poisson intensity reconstruction for time-dependent bioluminescence tomography. ISITA (2016)
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)
Lasith Adhikari, Roummel F. Marcia
Bounded sparse photon-limited image recovery. ICIP (2016)
Lasith Adhikari, Dianwen Zhu, Changqing Li, Roummel F. Marcia
Nonconvex reconstruction for low-dimensional fluorescence molecular tomographic poisson observations. ICIP (2015)
Lasith Adhikari, Roummel F. Marcia
Nonconvex relaxation for Poisson intensity reconstruction. ICASSP (2015)
Lasith Adhikari, Roummel F. Marcia
p-th Power total variation regularization in photon-limited imaging via iterative reweighting. EUSIPCO (2015)