PUBLICATIONS
Selected Publications
Abhishek K Dubey, A.S. Iliopoulos, X. Sun, F.F. Yin, “Iterative Inversion of Deformation Vector Fields with Feedback Control”, Medical Physics, June 2018.
Shalin Shah, Abhishek K Dubey, John Reif, “Programming temporal DNA barcodes for single-molecule fingerprinting", Nano Letters, March 2019.
Abhishek Dubey, Todd Young, Chris Stanley, Dalton Lunga, Jacob Hinkle. “Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation”, International Conference on Bioimaging, Feb. 2021.
Devanshu Agrawal, Abhishek K Dubey, Georgia Tourassi, Jacob Hinkle, “Deep kernel learning for information ex- traction from cancer pathology reports”, Fifth Computational Approaches for Cancer Workshop (CAFCW-2019), Oct. 2019.
B. Mitra, Abhishek K Dubey, S. Ghosh, and N. Ganguly, “How do Superpeer Networks Emerge?”, IEEE International Conference on Computer Communications (IEEE INFOCOM), March 2010.
Publication List
[p14] Md Inzamam Ul Haque, Abhishek Dubey, Ioana Danciu, Amy Justice, Olga Ovchinnikova, and Jacob Hinkle, "The Effect of Image Resolution on Automated Classification of Chest X-rays", journal of medical imaging, journal of medical imaging, May 2023
[p13] A Ziabari, S Venkatakrishnan, Abhishek K Dubey, A Lisovich, P Brackman, C Frederick, P Bhattad, P Bingham, D Plotkowski, A Ryan, V Paquit, "SIMURGH: A Framework for CAD-Driven Deep Learning Based X-ray CT Reconstruction", IEEE International Conference in Image Processing, June 2022.
[p12] Arjun Chaudhuri, Ching-Yuan Chen, Jonti Talukdar, Siddarth Madala, Abhishek K Dubey, Krishnendu Chakrabarty, "Efficient Fault-Criticality Analysis for AI Accelerators using a Neural Twin", IEEE International Test Conference, July 2021.
[p11] Abhishek Dubey, Todd Young, Chris Stanley, Dalton Lunga, Jacob Hinkle. “Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation”, International Conference on Bioimaging, Feb. 2021.
[p10] Shalin Shah, Abhishek K Dubey, John Reif, " ExTemp: A computational and image-processing suite for extracting temporal barcodes", Journal of Open Source Software (JOSS), Feb. 2020.
[p9] Devanshu Agrawal, Abhishek K Dubey, Georgia Tourassi, Jacob Hinkle, “Deep kernel learning for information extraction from cancer pathology reports”, Fifth Computational Approaches for Cancer Workshop (CAFCW-2019), Oct. 2019.
[p8] Abhishek K Dubey, Jacob Hinkle, James B Christian, Georgia Tourassi, “Extraction of Tumor Site from Cancer Pathology Reports using Deep Filters”, ACM conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), Sept. 2019.
[p7] Abhishek K Dubey, Hong-Jun Yoon, Georgia Tourassi, “Localized Sliced Inverse Regression for Tumor Site Extraction From Cancer Pathology Reports”, IEEE-EMBS international conference on biomedical and health informatics(IEEE- BHI), May 2019.
[p6] Shalin Shah, Abhishek K Dubey, John Reif, “Improved optical multiplexing with temporal DNA barcodes”, ACS synthetic biology, April 2019.
[p5] A.S. Iliopoulos, A. Dubey, and X. Sun, “idvf: Iterative inversion of deformation vector field with adaptive bi-residual feedback control”, Journal of Open Source Software (JOSS), March 2019.
[p4] Shalin Shah, Abhishek K Dubey, John Reif, “Programming temporal DNA barcodes for single- molecule fingerprinting”, Nano Letters, March 2019.
[p3] Abhishek K Dubey, A.S. Iliopoulos, X. Sun, F.F. Yin, “Iterative Inversion of Deformation Vector Fields with Feedback Control”, Medical Physics, June 2018.
[p2] B. Mitra, Abhishek K Dubey, S. Ghosh, and N. Ganguly, “How do Superpeer Networks Emerge?”, IEEE International Conference on Comp uter Communications (IEEE INFOCOM), March 2010.
[p1] B. Mitra, Abhishek K Dubey, S. Ghosh, and N. Ganguly, “Formal understanding of emergence of super-peer in peer to peer Network”, International Conference on Distributed Computing And Networking (ICDCN), Jan. 2010.
Abstracts
[a9] Abhishek K Dubey, Armand Chouzy, Arun Kumar, Kaushal Mishra, Ram Tiwari, Kalyanee Viraswami-Appanna, "Benchmarking time-to-event outcomes in single-arm trials: A case study on triple negative breast cancer patients", International Indian Statistical Association 2023
[a8] Abhishek K Dubey, Arun Kumar, "Synthetic control design for oncology trials with real world data", R&D symposium (BMS) 2022
[a7] Abhishek K Dubey, Kaushal Mishra, Arun Kumar, "Improving efficacy of dose-escalation design with historical and concurrent trial data", Joint Statistical Meetings 2022
[a6] Amir Ziabari, Abhishek K Dubey, Singanallur Venkatakrishnan, Curtis Frederick, Philip Bingham, Ryan Dehoff, Vincent Paquit, "Synthesizing X-Ray Computed Tomography Reconstruction Twins Using Semi-Supervised Generative Adversarial Networks", International Mechanical Engineering Congress & Exposition (IMECE), 2021.
[a5] Abhishek K Dubey, A.S. Iliopoulos, X. Sun, F.F. Yin, L. Ren, "Incisive Inversion of Deformation via Bi-residual Feedback", 16th Copper Mountain Conference On Iterative Methods, March 2020.
[a4] Shalin shah, Abhishek K Dubey, John Reif,“ Temporal DNA barcodes for single molecule imaging”,16th International Conference on Foundations of Nano Science: Self-Assembled Architectures (FNANO), March 2019.
[a3] Abhishek K Dubey, A.S. Iliopoulos, X. Sun, F.F. Yin,“ Iterative Inversion of Deformation Vector Fields with Feedback Control”, American association of Physicists in Medicine (AAPM), Aug. 2017.
[a2] Abhishek K Dubey, A.S. Iliopoulos, X. Sun, F.F. Yin, “Estimation of Deformation Field with Two- Scale Supervoxel Equations”, American association of Physicists in Medicine (AAPM), Aug. 2016.
[a1] Abhishek K Dubey, A.S. Iliopoulos, X. Sun, F.F.Yin,“ A Rapid Direct Method for Inverting Respiratory Deformation Fields”, American association of Physicists in Medicine (AAPM), Aug. 2016.