| Floodnet: A high resolution aerial imagery dataset for post flood scene understanding M Rahnemoonfar, T Chowdhury, A Sarkar, D Varshney, M Yari, ... IEEE Access 9, 89644-89654, 2021 | 164 | 2021 |
| Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere Y Huang, M Kleindessner, A Munishkin, D Varshney, P Guo, J Wang Frontiers in Big Data 4, 72, 2021 | 20 | 2021 |
| Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks D Varshney, M Rahnemoonfar, M Yari, J Paden 2020 IEEE International Conference on Big Data (Big Data), 2021 | 18 | 2021 |
| Deep learning on airborne radar echograms for tracing snow accumulation layers of the Greenland ice sheet D Varshney, M Rahnemoonfar, M Yari, J Paden, O Ibikunle, J Li Remote Sensing 13 (14), 2707, 2021 | 12 | 2021 |
| Snow and cloud discrimination using convolutional neural networks D Varshney, PK Gupta, C Persello, BR Nikam ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2018 | 8 | 2018 |
| Airborne snow radar data simulation with deep learning and physics-driven methods M Yari, O Ibikunle, D Varshney, T Chowdhury, A Sarkar, J Paden, J Li, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 7 | 2021 |
| Deep convolutional networks for cloud detection using resourcesat-2 data D Varshney, PK Gupta, C Persello, BR Nikam IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 7 | 2019 |
| Deep ice layer tracking and thickness estimation using fully convolutional networks M Rahnemoonfar, D Varshney, M Yari, J Paden | 4 | 2020 |
| Phytochemical studies of Ziziphus xylopyrus wild. PK Gupta, DK Varshney, UK Umesh Kumar, B Bhavna | 4 | 2013 |
| Regression Networks For Calculating Englacial Layer Thickness D Varshney, M Rahnemoonfar, M Yari, J Paden 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2393 …, 2021 | 3 | 2021 |
| Refining Ice Layer Tracking through Wavelet combined Neural Networks D Varshney, M Yari, T Chowdhury, M Rahnemoonfar ICML 2021 workshop on Tackling Climate Change with Machine Learning, 2021 | 3 | 2021 |
| Learning snow layer thickness through physics defined labels D Varshney, O Ibikunle, J Paden, M Rahnemoonfar IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 2 | 2022 |
| Multiresolution fully convolutional networks to detect clouds and snow through optical satellite images D Varshney, C Persello, PK Gupta, BR Nikam arXiv preprint arXiv:2201.02350, 2022 | 2 | 2022 |
| Convolutional Neural Networks to detect clouds and snow in optical images D Varshney University of Twente, 2019 | 2 | 2019 |
| Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Firn Layers in Radar Echograms D Varshney, M Yari, O Ibikunle, J Li, J Paden, M Rahnemoonfar arXiv preprint arXiv:2310.19574, 2023 | 1 | 2023 |
| Snow Radar Echogram Layer Tracker: Deep Neural Networks for radar data from NASA Operation IceBridge O Ibikunle, HM Talasila, D Varshney, JD Paden, J Li, M Rahnemoonfar 2023 IEEE Radar Conference (RadarConf23), 1-6, 2023 | 1 | 2023 |
| A Global Analysis of Pre-Earthquake Ionospheric Anomalies L Cullen, AW Smith, AH Galib, D Varshney, EJE Brown, PJ Chi, X Chu, ... arXiv preprint arXiv:2401.01773, 2024 | | 2024 |
| ECHOVIT: Vision Transformers Using Fast-And-Slow Time Embeddings O Ibikunle, D Varshney, J Li, M Rahnemoonfar, J Paden IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Can We Forecast And Detect Earthquakes From Heterogeneous Multivariate Time Series Data? L Cullen, AH Galib, AW Smith, D Varshney, E Brown, P Chi, X Chu, ... I Can't Believe It's Not Better Workshop: Understanding Deep Learning …, 2022 | | 2022 |
| Multimodal Heliophysical/Geophysical Machine Learning Models for Earthquake Identification and Forecasting D Varshney, L Cullen, A Galib, AW Smith, E Brown, PJ Chi, X Chu, ... AGU Fall Meeting Abstracts 2022, NG51A-02, 2022 | | 2022 |
