Diagnosis and Prognosis of disease based on Deep Learning based framework.
Computational Diffusion MRI , Quantitative measures, DTI, DKI
Inverse Problem: Image Reconstruction
Image Reconstruction, Image Registration
Statistical Region of Interest based Analysis on disease
Published Research Papers :
2023
Abhishek Tiwari, Rajeev Kumar Singh and Saurabh J. Shigwan, "SwinDTI: Swin transformer based generalized fast estimation of diffusion tensor parameters from sparse data" Springer Neural Computing & Applications, Q1 SCI Journal IF = 6.0 https://doi.org/10.13140/RG.2.2.20342.78406.[Paper]
Abhishek Tiwari, Saurabh J. Shigwan and Rajeev Kumar Singh et al., “Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies” Elsevier NeuroImage: Clinical Q1 SCI Journal IF = 4.2 https://doi.org/10.1016/j.nicl.2023.103483 [Paper]
Abhishek Tiwari, Ananya Singhal, Saurabh J. Shigwan, Rajeev Kumar Singh, "Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia", IEEE/CVF International Conference on Computer Vision ICCV 2023 (core rank A*, h-index 228 ) workshop on BioImage Computing. [ICCV 2023 Paris, Acceptance rate: 2160 / 8068 ≈ 26.8%] [Paper]
Abhishek Tiwari, Ananya Singhal, Saurabh J. Shigwan, Rajeev Kumar Singh, "Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures" The 15th Asian Conference on Machine Learning (ACML 2023) Proceedings of Machine Learning Research (PMLR) vol 222, 2023, ISSN: 2640-3498. ACML Paper: Link [ACML 2023 Turkey, Acceptance rate ≈ 26.9%, with just four papers selected from India]
Abhishek Tiwari, Saurabh J. Shigwan and Rajeev Kumar Singh et al., “Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies” prestigious Wiley ISMRM & ISMRT 2023 Annual Meeting & Exhibition in Toronto, ON, Canada, 03-08 June 2023 [ISMRM Poster-Session] .
2022
Abhishek Tiwari and Rajeev Kumar Singh, “Performance, Trust, or both? COVID-19 Diagnosis and Prognosis using Deep Ensemble Transfer Learning on X-ray Images” 13th Indian Conference on Computer Vision, Graphics and Image Processing, (ICVGIP 2022) held on IIT Gandhinagar, ACM ISBN 978-1-4503-9822-0/22/12. [ICVGIP Oral Acceptance rate ≈ 9.4% ]. [Paper]
2021
2020
Abhishek Tiwari and Alexey N. Nazarov, “Super-Resolution Imaging and Deep Learning solutions for Classification, Monitoring & Diagnosis of Alzheimer’s Disease”, CISRI 2020 Book Chapters: Computational Intelligence Methods for Super-Resolution in Image Processing Applications, Springer Nature Book SCOPUS Indexed.
Abhishek Tiwari, “Multidimensional Medical Imaging Analysis Alzheimer’s Disease via Image Processing and Machine Learning: A Review, Diagnosis and Challenges, 3rd International Conference on Innovative Computing and Communication (ICICC-2020) 21- 21-23rd Feb, 2020 proceeding at Elsevier SSRN ©2020 Elsevier (SCOPUS Indexed).
2019
Abhishek Tiwari et al., “Multidisciplinary Approach of Artificial Intelligence over Medical Imaging: A Review, Challenges, Recent Opportunities for Research, 3rd IEEE International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC 2019) proceeding at IEEE Xplore, organized on 12-14, December 2019 (SCOPUS Indexed).
2018
Abhishek Tiwari and Sanjeev Kumar Ojha, “Design and analysis of intrusion detection system via neural network, SVM and neurofuzzy”, International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS-2018) proceeding at Springer AISC (Advances in Intelligent Systems and Computing) Series, indexed by SCOPUS, Springer link, ISSN: ISSN: 2194-5357.
Mayank Dixit, Abhishek Tiwari and Himanshu Pathak, “An overview of deep learning architectures, libraries and its applications areas”, International Conference on Advances in Computing, Communication Control and Networking (ICACCCN-2018) proceeding at IEEE Xplore (IEEE Conference Record Number : #43907) ISBN No. 978-1-5386-4119-4.
2017
Abhishek Tiwari, “Real time intrusion detection system using computational intelligence and neural network: Review, analysis and anticipated solution of machine learning” Springer International Conference on Information Technology and Applied Mathematics (ICITAM-2017) proceeding at Springer Book Series: Information Technology and Applied Mathematics, ISBN:978-981-10-7590-2, ISSN 2194-5357.
Abhishek Tiwari et al., “An effective approach for secure video watermarking based on H.264 Standard” 3rd IEEE International Conference on Computational Intelligence and Communication Technology (CICT-2017) indexed by Scopus and proceeding at IEEE Xplore.
Abhishek Tiwari and Ankit Vidyarthi, “Semantically ontology merging with intelligent information retrieval using SPARQL on education domain” International Conference on Communication and Computing System, indexed by CRC Press, Google Scholar and Taylor & Francis Group.( Published as Book Chapter at CRC Press/Balkema -Taylor & Francis Group) ISBN: 9781138029521- CAT#K29517 [Book cost £ 230 pound].
2016
2015
Abhishek Tiwari and Kamlesh K.Gupta, “An effective approach of digital image watermarking for copyright protection” International Journal of Big Data Security Intelligence Vol.2 No.1(2015), pp 7-17 http://dx.doi.org/10.14257/ijbdsi.2015.2.1.02 ISSN: 2383-7047 SERSC: Science & Engineering Research Support Society,Sandy Bay, Australia.
R. Gupta and Abhishek Tiwari, “Analysis of satellite image filters for RISAT: A Review”, Int. J. of Grid Distribution Computing Vol. 8, No.5, (2015), pp.111-116 http://dx.doi.org/10.14257/ijgdc.2015.8.5.10 ISSN: 2005-4262 SERSC: Science & Engineering Research Support Society, Sandy Bay, Australia.
2014
Abhishek Tiwari and Neelesh Kumar Jain, “Wave atom based compression method for fingerprint images” International Conference on Advances in Computing & Communication Engineering (ICACCE-14) sponsors by IEEE, ACM and TEQIP-II (Published as Book Chapter at Excel India Publishers) ISBN: 978-93-83842-15-5 [Book cost $80].
Abhishek Tiwari, Neelesh Kumar Jain and Devraj Tomar, “Analysis of multiscale transform based digital image watermarking for multimedia files”, Int. J. for Scientific Research and Development, ISSN: 2321- 0613 Volume 2, Issue 2, in April 2014 pp.177-182.