| Online Class-Incremental Continual Learning with Adversarial Shapley Value D Shim, Z Mai, J Jeong, S Sanner, H Kim, J Jang AAAI-21 35 (11), 9630-9638, 2021 | 167 | 2021 |
| Real-time Triple-modal Photoacoustic, Ultrasound, and Magnetic Resonance Fusion Imaging of Humans S Park, J Jang, J Kim, YS Kim, C Kim IEEE Transactions on Medical Imaging 36 (9), 1912-1921, 2017 | 57 | 2017 |
| Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring S Sattarzadeh, M Sudhakar, KN Plataniotis, J Jang, Y Jeong, H Kim IEEE ICASSP 2021, 2021 | 44 | 2021 |
| Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation S Sattarzadeh, M Sudhakar, A Lem, S Mehryar, KN Plataniotis, J Jang, ... AAAI-21, 2021 | 39 | 2021 |
| Automatic Disease Annotation From Radiology Reports Using Artificial Intelligence Implemented by a Recurrent Neural Network C Lee, Y Kim, YS Kim, J Jang American Journal of Roentgenology, 2019 | 38 | 2019 |
| Transcam: Transformer attention-based cam refinement for weakly supervised semantic segmentation R Li, Z Mai, Z Zhang, J Jang, S Sanner Journal of Visual Communication and Image Representation 92, 103800, 2023 | 35 | 2023 |
| Classification of Femur Fracture in Pelvic X-ray Images Using Meta-learned Deep Neural Network C Lee, J Jang, S Lee, YS Kim, HJ Jo, Y Kim Scientific Reports, 2020 | 31 | 2020 |
| Three-dimensional analysis of acetabular orientation using a semi-automated algorithm C Lee, J Jang, HW Kim, YS Kim, Y Kim Computer Assisted Surgery, 2019 | 17 | 2019 |
| A Pattern-driven Stochastic Degradation Model for the Prediction of Remaining Useful Life of Rechargeable Batteries Z Zhang, Y Jeong, J Jang, CG Lee IEEE Transactions on Industrial Informatics, 2022 | 15 | 2022 |
| Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks M Sudhakar, S Sattarzadeh, KN Plataniotis, J Jang, Y Jeong, H Kim IEEE ICASSP 2021, 2021 | 14 | 2021 |
| Virtual wall–based haptic-guided teleoperated surgical robotic system for single-port brain tumor removal surgery S Seung, H Choi, J Jang, YS Kim, JO Park, S Park, SY Ko Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2016 | 12 | 2016 |
| Thyroid cartilage loci and hyoid bone analysis using a video fluoroscopic swallowing study (VFSS) SH Han, YJ Na, JS Jang, KH Lee, YJ Yoon, MS Chung Medicine, 2019 | 9 | 2019 |
| Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation J Yoon, K Kim, J Jang ICCV 2019 workshop on, 2019 | 6 | 2019 |
| ExCon: Explanation-driven supervised contrastive learning for image classification Z Zhang, J Jang, C Trabelsi, R Li, S Sanner, Y Jeong, D Shim arXiv preprint arXiv:2111.14271, 2021 | 5 | 2021 |
| Significantly improving zero-shot x-ray pathology classification via fine-tuning pre-trained image-text encoders J Jang, D Kyung, SH Kim, H Lee, K Bae, E Choi arXiv preprint arXiv:2212.07050, 2022 | 4 | 2022 |
| A robust method to extract the anterior pelvic plane from CT volume independent of pelvic pose C Lee, Y Kim, HW Kim, YS Kim, J Jang Computer Assisted Surgery 22 (1), 20-26, 2017 | 4 | 2017 |
| Construction and verification of a safety region for brain tumor removal with a telesurgical robot system J Jang, HW Kim, YS Kim Minimally Invasive Therapy & Allied Technologies 23 (6), 333–340, 2014 | 4 | 2014 |
| Safety management algorithm for telesurgical robot system for brain tumor surgery J Jang, YS Kim IEEE ISR 2013, 1-2, 2013 | 4 | 2013 |
| Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch HR Lee, RA Sreenivasan, Y Jeong, J Jang, D Shim, CG Lee International Joint Conferences on Artificial Intelligence Organization …, 2022 | 3 | 2022 |
| EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment R Li, Z Zhang, J Li, S Sanner, J Jang, Y Jeong, D Shim | 3 | 2021 |
YeonJeong JeongYork UniversityVerified email at yorku.ca
