| 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 | 202 | 2021 |
| A comparison of 1-D and 2-D deep convolutional neural networks in ECG classification Y Wu, F Yang, Y Liu, X Zha, S Yuan 2018 IEEE 40th International Conference of the IEEE Engineering in Medicine …, 2018 | 152 | 2018 |
| Deep learning LI-RADS grading system based on contrast enhanced multiphase MRI for differentiation between LR-3 and LR-4/LR-5 liver tumors Y Wu, GM White, T Cornelius, I Gowdar, MH Ansari, MP Supanich, J Deng Annals of Translational Medicine 8 (11), 701, 2020 | 65 | 2020 |
| Combining attention-based multiple instance learning and gaussian processes for CT hemorrhage detection Y Wu, A Schmidt, E Hernández-Sánchez, R Molina, AK Katsaggelos International conference on medical image computing and computer-assisted …, 2021 | 39 | 2021 |
| Gravity Spy: lessons learned and a path forward M Zevin, CB Jackson, Z Doctor, Y Wu, C Østerlund, LC Johnson, ... The European Physical Journal Plus 139 (1), 100, 2024 | 37 | 2024 |
| Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection M López Pérez, R Molina Soriano, A Schmidt, A Katsaggelos, Y Wu Miguel López Pérez, 2022 | 34 | 2022 |
| A deep learning fusion model with evidence-based confidence level analysis for differentiation of malignant and benign breast tumors using dynamic contrast enhanced MRI Y Wu, J Wu, Y Dou, N Rubert, Y Wang, J Deng Biomedical Signal Processing and Control 72, 103319, 2022 | 30 | 2022 |
| A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters Y Wu, BM Rocha, E Kaimakamis, GA Cheimariotis, G Petmezas, ... Expert Systems with Applications 235, 121089, 2024 | 19 | 2024 |
| Can deep learning assist automatic identification of layered pigments from XRF data? BJ Xu, Y Wu, P Hao, M Vermeulen, A McGeachy, K Smith, K Eremin, ... Journal of Analytical Atomic Spectrometry 37 (12), 2672-2682, 2022 | 19 | 2022 |
| Advancing glitch classification in Gravity Spy: Multi-view fusion with attention-based machine learning for advanced LIGO’s fourth observing run Y Wu, M Zevin, CPL Berry, K Crowston, C Østerlund, Z Doctor, S Banagiri, ... Classical and Quantum Gravity 42 (16), 165015, 2025 | 18 | 2025 |
| 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 | 16 | 2020 |
| Ensembled deep neural network for intracranial hemorrhage detection and subtype classification on noncontrast CT images Y Wu, MP Supanich, J Deng Journal of Artificial Intelligence for Medical Sciences 2 (1), 12-20, 2021 | 13 | 2021 |
| Usformer: A small network for left atrium segmentation of 3D LGE MRI H Lin, S López-Tapia, F Schiffers, Y Wu, S Gunasekaran, J Hwang, ... Heliyon 10 (7), 2024 | 12 | 2024 |
| Smooth attention for deep multiple instance learning: Application to ct intracranial hemorrhage detection Y Wu, FM Castro-Macías, P Morales-Álvarez, R Molina, AK Katsaggelos International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 12 | 2023 |
| Image-based motion artifact reduction on liver dynamic contrast enhanced MRI Y Wu, J Liu, GM White, J Deng Physica Medica 105, 102509, 2023 | 11 | 2023 |
| An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection J Perez-Cano, Y Wu, A Schmidt, M Lopez-Perez, P Morales-Alvarez, ... Expert Systems with Applications 240, 122296, 2024 | 9 | 2024 |
| A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction Y Wu, P Besson, EA Azcona, SK Bandt, TB Parrish, HC Breiter, ... Scientific reports 12 (1), 1-16, 2022 | 9 | 2022 |
| ECG classification based on transfer learning and deep convolution neural network XF Zha, F Yang, YN Wu, Y Liu, SF Yuan Chin. J. Med. Phys 35 (11), 1307-1312, 2018 | 9 | 2018 |
| Sm: enhanced localization in Multiple Instance Learning for medical imaging classification FM Castro-Macías, P Morales-Álvarez, Y Wu, R Molina, AK Katsaggelos Advances in Neural Information Processing Systems 37, 77494-77524, 2024 | 8 | 2024 |
| Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection FM Castro-Macías, P Morales-Álvarez, Y Wu, R Molina, AK Katsaggelos Artificial Intelligence 331, 104115, 2024 | 8 | 2024 |
Aggelos K KatsaggelosJoseph Cummings Professor of ECE (Courtesy CS and Radiology), Northwestern UniversityVerified email at eecs.northwestern.edu
