| DeepCOVID-XR: an artificial intelligence algorithm to detect COVID-19 on chest radiographs trained and tested on a large US clinical data set RM Wehbe, J Sheng, S Dutta, S Chai, A Dravid, S Barutcu, Y Wu, ... Radiology 299 (1), E167-E176, 2021 | 151 | 2021 |
| Interpretation of brain morphology in association to Alzheimer’s disease dementia classification using graph convolutional networks on triangulated meshes EA Azcona, P Besson, Y Wu, A Punjabi, A Martersteck, A Dravid, ... International Workshop on Shape in Medical Imaging, 95-107, 2020 | 11 | 2020 |
| medxgan: Visual explanations for medical classifiers through a generative latent space A Dravid, F Schiffers, B Gong, AK Katsaggelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 8 | 2022 |
| BKinD-3D: self-supervised 3D keypoint discovery from multi-view videos JJ Sun, L Karashchuk, A Dravid, S Ryou, S Fereidooni, JC Tuthill, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Rosetta neurons: Mining the common units in a model zoo A Dravid, Y Gandelsman, AA Efros, A Shocher Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Employing deep networks for image processing on small research datasets A Dravid Microscopy Today 27 (1), 18-23, 2019 | 4 | 2019 |
| Idempotent generative network A Shocher, A Dravid, Y Gandelsman, I Mosseri, M Rubinstein, AA Efros arXiv preprint arXiv:2311.01462, 2023 | 2 | 2023 |
| Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes A Dravid, F Schiffers, Y Wu, O Cossairt, A Katsaggelos International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 | 2 | 2022 |
| Early upper aerodigestive tract cancer detection using electron microscopy to reveal chromatin packing alterations in buccal mucosa cells O Bugter, Y Li, AHG Wolters, V Agrawal, A Dravid, A Chang, J Hardillo, ... Microscopy and Microanalysis 27 (4), 878-888, 2021 | 2 | 2021 |
| DeepCOVID-Fuse: A Multi-Modality Deep Learning Model Fusing Chest X-rays and Clinical Variables to Predict COVID-19 Risk Levels Y Wu, A Dravid, RM Wehbe, AK Katsaggelos Bioengineering 10 (5), 556, 2023 | 1 | 2023 |
| Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract) A Dravid, AK Katsaggelos Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 1* | 2022 |
| BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos Supplementary Materials JJ Sun, L Karashchuk, A Dravid, S Ryou, S Fereidooni, JC Tuthill, ... | | |
Aggelos K KatsaggelosJoseph Cummings Professor of ECE (Courtesy CS and Radiology), Northwestern UniversityVerified email at eecs.northwestern.edu
