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ORCIDAbhishek Sengupta
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2020 – today
- 2023
[c6]Tobias Kilian, Abhishek Sengupta, Daniel Tille, Martin Huch, Ulf Schlichtmann:
An efficient High-Volume Production Performance Screening using On-Chip Ring Oscillators. DFT 2023: 1-6- [c5]Priyanka Sharma, Shruti Pandey, Sonalika Ray, Mohit Mazumder, Payal Gupta, Abhishek Sengupta, Ankur Chaurasia, Abhishek Sengupta:
Predictive Modeling of Recurrent Implantation Failure and Pre-eclampsia Using Machine Learning and Gene Expression Profiling. ICCCNT 2023: 1-6 - [c4]Priyanka Sharma, Shruti Pandey, Sonalika Ray, Mohit Mazumder, Payal Gupta, Abhishek Sengupta, Ankur Chaurasia, Abhishek Sengupta:
Predictive Modeling of Recurrent Implantation Failure and Pre-eclampsia Using Machine Learning and Gene Expression Profiling. ICCCNT 2023: 1-6 - [c3]Ansh Tandon
, Tushar Gupta, Aysha Verma, Sudeepti Kulshrestha, Riya Dua, Sharvin Varghese, Romasha Gupta, Nagma Abbasi, Priyanka Narad, Ankur Chaurasia, Abhishek Sengupta:
Precision at its Core: Machine Learning-Infused Metabolomics Model for Preterm Birth Prediction in Human. ICCCNT 2023: 1-7 - 2020
- [j1]Ulisse Ferrari, Stéphane Deny, Abhishek Sengupta, Romain Caplette, Francesco Trapani, José-Alain Sahel, Deniz Dalkara, Serge Picaud, Jens Duebel, Olivier Marre:
Towards optogenetic vision restoration with high resolution. PLoS Comput. Biol. 16(7) (2020)
2010 – 2019
- 2017
- [c2]Abhishek Sengupta, A. P. Prathosh, Satya Narayan Shukla, Vaibhav Rajan, Chandan K. Reddy:
Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models. EMBC 2017: 3660-3663 - 2016
- [c1]Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma:
A statistical model for stroke outcome prediction and treatment planning. EMBC 2016: 2516-2519 - [i1]Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma:
A Statistical Model for Stroke Outcome Prediction and Treatment Planning. CoRR abs/1602.07280 (2016)
Coauthor Index
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