| C. K. Tuggle, J. L. Clarke, B. M. Murdoch, E. Lyons, N. M. Scott, B. Beneš, J. D. Campbell, H. Chung, C. L. Daigle, S. D. Choudhury, J. C. M. Dekkers, J. R. R. Dórea, D. S. Ertl, M. Feldman, B. O. Fragomeni, J. E. Fulton, C. R. Guadagno, D. E. Hagen, A. S. Hess, L. M. Kramer, C. J. Lawrence-Dill, A. E. Lipka, T. Lübberstedt, F. M. McCarthy, P. S. Schnable, Current Challenges and Future of Agricultural Genomes to Phenomes in the USA, Genome Biology, 25(8), January 2024. | Online |
| Das Choudhury S, Guadagno CR, Bashyam S, Mazis A, Ewers BE, Samal A and Awada T (2024) Stress phenotyping analysis leveraging autofluorescence image sequences with machine learning. Front. Plant Sci. 15:1353110. doi: 10.3389/fpls.2024.1353110 | Online |
| A. Das, S. D. Choudhury, A. K. Das, A. Samal, T. Awada, EmergeNet: A Novel Deep-Learning based Ensemble Segmentation Model for Emergence Timing Detection of Coleoptile, Frontiers in Plant Science, 14(2023), February 2023. | Online |
| Das Choudhury S, Saha S, Samal A, Mazis A and Awada T (2023) Drought stress prediction and propagation using time series modeling on multimodal plant image sequences. Front. Plant Sci. 14:1003150. doi: 10.3389/fpls.2023.1003150. | Online |
| K. T. Joseph, K. Muvva, H. Mwunguzi, A. Haake, C. Liew, A. Balabantaray, S. Behera, A. Kalra, K. K. Vattiam Srikanth, S. Pitla and S. D. Choudhury, CottonHusker: Deep Learning Enabled Cotton Picking Robot for Smart Agriculture, International Conference on Systems and Technology for Smart Agriculture (ICSTA), Kolkata, India, December 2023. | |
| R. Quiñones, F. Munoz-Arriola, S. D. Choudhury, A. Samal, OSC-CO2: Coattention and Cosegmentation Framework for Plant State Change with Multiple Features, Frontiers in Plant Science, 14: doi: 10.3389/fpls.2023.1211409, October 2023. | Online |
| S. D. Choudhury, C. Rosaria Guadagno,, University of Nebraska-Lincoln and University of Wyoming AutoFluorescence Dataset (UNL-UW-AFD) to facilitate stress detection and phenotype computation, and also identify genetic variation within Brassica rapa types under drought using autofluorescence imaging. https://plantvision.unl.edu/dataset | Online |
| Choudhury, S. D., Guha, S., Das, A., Das, A. K., Samal, A. K., Awada, T. N. (2022). FlowerPhenoNet: Automated Flower Detection from Multi-View Image Sequences Using Deep Neural Networks for Temporal Plant Phenotyping Analysis. REMOTE SENSING, 14(24). | Online |
| Fan, X., Zhou, R., Tjahjadi, T., Das Choudhury, S., Ye, Q. (2022). A Segmentation-Guided Deep Learning Framework for Leaf Counting. Frontiers in Plant Science.
| Online |
| Bashyam, S., Choudhury, S. D., Samal, A. K., Awada, T. N. (2021). Visual Growth Tracking for Automated Leaf Stage Monitoring Based on Image Sequence Analysis. REMOTE SENSING, 13(5). | Online |
| Quiñones, R., Munoz-Arriola, F., Das Choudhury, S., Samal, A. (2021). Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping. PLOS ONE, 16(9), 21. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0257001 | Online |
| Zhou, L., Fan, X., Tjahjadi, T., Das Choudhury, S. (2021). Discriminative attention-augmented feature learning for facial expression recognition in the wild. Neural Computing and Applications. 34: 925–936. | |
| Das Choudhury, D., Samal, A., and Awada, T. 2019. Leveraging Image Analysis for High-Throughput Plant Phenotyping. Frontiers in Plant Science. doi: 10.3389/fpls.2019.00508 | Online |
| Das Choudhury, S., Bashyam, S., Qui, Y., Samal, A., Awada, T. (2018). Holistic and Component Plant Phenotyping using Temporal Image Sequence. Holistic and Component Plant Phenotyping using Temporal Image Sequence, Plant Methods. 14(35). | |
| Das Choudhury, S., Bashyan, S., Qiu, Y., Samal, A. K., Awada, T. N. (2018). Holistic & component plant phenotyping using temporal image sequence. Holistic & component plant phenotyping using temporal image sequence, 14, 35. | |
| Fan, X., Ye, Q., Yang, X., Das Choudhury, S. (2018). Robust Blood Pressure Estimation using a RGB Camera. Robust Blood Pressure Estimation using a RGB Camera. | |
| Jarquin, D., Howard, R., Xavier, A., Das Choudhury, S. (2018). Increasing Predictive Ability by Modeling Interactions between Environments. Increasing Predictive Ability by Modeling Interactions between Environments, 8(4). | |
| S. D. Choudhury, T. Tjahjadi, 2014. Robust View-Invariant Multiscale Gait Recognition, Pattern Recognition, 48: 798 - 811. | Online |
| S. D. Choudhury, T. Tjahjadi, 2013. Gait Recognition Based on Shape and Motion Analysis of Silhouette Contour, Computer Vision and Image Understanding, 117: 1770-1785. | Online |