| Prediction of total knee replacement and diagnosis of osteoarthritis by using deep learning on knee radiographs: data from the osteoarthritis initiative K Leung, B Zhang, J Tan, Y Shen, KJ Geras, JS Babb, K Cho, G Chang, ... Radiology 296 (3), 584-593, 2020 | 160 | 2020 |
| A critical look at the current train/test split in machine learning J Tan, J Yang, S Wu, G Chen, J Zhao arXiv preprint arXiv:2106.04525, 2021 | 64 | 2021 |
| Attention-based cnn for kl grade classification: Data from the osteoarthritis initiative B Zhang, J Tan, K Cho, G Chang, CM Deniz 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 731-735, 2020 | 49 | 2020 |
| Proteogenomic data and resources for pan-cancer analysis Y Li, Y Dou, FDV Leprevost, Y Geffen, AP Calinawan, F Aguet, Y Akiyama, ... Cancer cell 41 (8), 1397-1406, 2023 | 47 | 2023 |
| Cell-type-specific prediction of 3D chromatin organization enables high-throughput in silico genetic screening J Tan, N Shenker-Tauris, J Rodriguez-Hernaez, E Wang, ... Nature biotechnology 41 (8), 1140-1150, 2023 | 44 | 2023 |
| The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images J Hirvasniemi, J Runhaar, RA van der Heijden, M Zokaeinikoo, M Yang, ... Osteoarthritis and cartilage 31 (1), 115-125, 2023 | 33 | 2023 |
| Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation Y Geffen, S Anand, Y Akiyama, TM Yaron, Y Song, JL Johnson, ... Cell 186 (18), 3945-3967. e26, 2023 | 32 | 2023 |
| Pan-cancer proteogenomics connects oncogenic drivers to functional states Y Li, E Porta-Pardo, C Tokheim, MH Bailey, TM Yaron, V Stathias, ... Cell 186 (18), 3921-3944. e25, 2023 | 31 | 2023 |
| Integrative multi-omic cancer profiling reveals DNA methylation patterns associated with therapeutic vulnerability and cell-of-origin WW Liang, RJH Lu, RG Jayasinghe, SM Foltz, E Porta-Pardo, Y Geffen, ... Cancer cell 41 (9), 1567-1585. e7, 2023 | 21 | 2023 |
| Proteogenomic insights suggest druggable pathways in endometrial carcinoma Y Dou, L Katsnelson, MA Gritsenko, Y Hu, B Reva, R Hong, YT Wang, ... Cancer cell 41 (9), 1586-1605. e15, 2023 | 16 | 2023 |
| Pan-cancer proteogenomics characterization of tumor immunity F Petralia, W Ma, TM Yaron, FP Caruso, N Tignor, JM Wang, ... Cell 187 (5), 1255-1277. e27, 2024 | 10 | 2024 |
| Cell type-specific prediction of 3D chromatin architecture J Tan, J Rodriguez-Hernaez, T Sakellaropoulos, F Boccalatte, I Aifantis, ... bioRxiv, 2022.03. 05.483136, 2022 | 6 | 2022 |
| Deep learning integrates histopathology and proteogenomics at a pan-cancer level JM Wang, R Hong, EG Demicco, J Tan, R Lazcano, AL Moreira, Y Li, ... Cell Reports Medicine 4 (9), 2023 | 4 | 2023 |
| GET: a foundation model of transcription across human cell types X Fu, S Mo, A Buendia, A Laurent, A Shao, MM Alvarez-Torres, T Yu, ... bioRxiv, 2023.09. 24.559168, 2023 | 1 | 2023 |
| Notable Site Recognition using Deep Learning on Mobile and Crowd-sourced Imagery J Tan, A Noulas, D Sáez, R Schifanella 2020 21st IEEE International Conference on Mobile Data Management (MDM), 137-147, 2020 | 1* | 2020 |
| Uncovering clinically relevant omics signatures from pan-cancer imaging and multi-omics data integration J Wang, R Hong, J Tan, W Liu, D Fenyȯ Cancer Research 84 (6_Supplement), 888-888, 2024 | | 2024 |
| Characterization of tumor heterogeneity through segmentation-free representation learning J Tan, H Le, J Deng, Y Liu, Y Hao, M Hollenberg, W Liu, JM Wang, B Xia, ... bioRxiv, 2024.09. 05.611431, 2024 | | 2024 |
| Semi-supervised learning for predicting total knee replacement with unsupervised data augmentation J Tan, B Zhang, K Cho, G Chang, CM Deniz Medical Imaging 2020: Computer-Aided Diagnosis 11314, 153-161, 2020 | | 2020 |
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu