| Capturing the effects of transportation on the spread of COVID-19 with a multi-networked SEIR model D Vrabac, M Shang, B Butler, J Pham, R Stern, PE Paré 2021 American Control Conference (ACC), 3152-3157, 2021 | 39 | 2021 |
| DLBCL-Morph: morphological features computed using deep learning for an annotated digital DLBCL image set D Vrabac, A Smit, R Rojansky, Y Natkunam, RH Advani, AY Ng, ... Scientific Data 8 (1), 135, 2021 | 21 | 2021 |
| Analysis, online estimation, and validation of a competing virus model PE Paré, D Vrabac, H Sandberg, KH Johansson 2020 American control conference (ACC), 2556-2561, 2020 | 13 | 2020 |
| Overcoming challenges for estimating virus spread dynamics from data D Vrabac, PE Paré, H Sandberg, KH Johansson 2020 54th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2020 | 13 | 2020 |
| Medselect: Selective labeling for medical image classification combining meta-learning with deep reinforcement learning A Smit, D Vrabac, Y He, AY Ng, AL Beam, P Rajpurkar arXiv preprint arXiv:2103.14339, 2021 | 11 | 2021 |
| Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment outcomes in pancreatic cancer V Nimgaonkar, V Krishna, V Krishna, E Tiu, A Joshi, D Vrabac, ... Cell Reports Medicine 4 (4), 2023 | 10 | 2023 |
| Estimating geographic spillover effects of COVID-19 policies from large-scale mobility networks S Chang, D Vrabac, J Leskovec, J Ugander Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14161 …, 2023 | 9 | 2023 |
| GloFlow: Whole slide image stitching from video using optical flow and global image alignment V Krishna, A Joshi, D Vrabac, P Bulterys, E Yang, S Fernandez-Pol, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 4 | 2021 |
| MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning D Vrabac, A Smit, Y He, AY Ng, AL Beam, P Rajpurkar International Conference on Medical Imaging with Deep Learning, 1301-1310, 2022 | 2 | 2022 |
| Gemcitabine response prediction in the adjuvant treatment of resected pancreatic ductal adenocarcinoma using an AI histopathology platform. V Krishna, V Nimgaonkar, E Tiu, V Krishna, H Bhambhvani, S Cook, ... Journal of Clinical Oncology 40 (16_suppl), e16295-e16295, 2022 | 2 | 2022 |
| Abstract A043: Validation of an artificial intelligence derived histological biomarker for gemcitabine response in resected pancreatic ductal adenocarcinoma (PDAC) V Krishna, V Krishna, E Tiu, V Nimgaonkar, D Vrabac, K Smith, A Joshi, ... Cancer Research 82 (22_Supplement), A043-A043, 2022 | 1 | 2022 |
| 1773P Prediction of neoadjuvant chemotherapy response in muscle-invasive bladder cancer: A machine learning approach E Shkolyar, H Bhambhvani, E Tiu, V Krishna, V Nimgaonkar, R Krishnan, ... Annals of Oncology 33, S1348, 2022 | 1 | 2022 |
| Air travel data during the COVID-19 pandemic in the United States M Shang, J Pham, D Vrabac, B Butler, PE Paré, R Stern | 1 | 2020 |
| Analysis and Estimation of Networked SIR & SEIR Models with Transportation Networks D Vrabac, R Stern, PE Paré arXiv preprint arXiv:2011.11739, 2020 | 1 | 2020 |
| PD30-03 PREDICTING RESPONSE TO INTRAVESICAL BCG IN HIGH RISK NON-MUSCLE INVASIVE BLADDER CANCER USING AN ARTIFICIAL INTELLIGENCE-POWERED PATHOLOGY ASSAY: DEVELOPMENT AND … Y Lotan, V Krishna, B Launer, V Krishna, S Singhi, J Gordetsky, JB Shah, ... The Journal of Urology 211 (5S), e625, 2024 | | 2024 |
| PD27-12 DEVELOPMENT AND VALIDATION OF GENERALIZABLE INTERPRETABLE AI BIOMARKERS TO PREDICT CLINICAL OUTCOMES IN BCG-TREATED PATIENTS WITH NON-MUSCLE INVASIVE BLADDER CANCER Y Lotan, JB Shah, V Krishna, B Launer, V Krishna, S Shingi, J Gordetsky, ... Journal of Urology 211 (5S), e555, 2024 | | 2024 |
| AI-based pathologic biomarker for pathologic downstaging in patients with muscle-invasive bladder cancer undergoing cystectomy after neoadjuvant nivolumab, gemcitabine, and … V Krishna, GP Sonpavde, S Gupta, BL Maughan, N Agarwal, M Eckstein, ... Journal of Clinical Oncology 41 (16_suppl), e16566-e16566, 2023 | | 2023 |
| Corrigendum to “1773P Prediction of chemotherapy response in muscle-invasive bladder cancer: A machine learning approach”:[Annals of Oncology 32 (2022) S1348] E Shkolyar, H Bhambhvani, E Tiu, V Krishna, V Nimgaonkar, R Krishnan, ... Annals of Oncology 34 (5), 502, 2023 | | 2023 |
| Development of artificial intelligence–derived histological biomarkers for first-line treatment selection in metastatic pancreatic ductal adenocarcinoma (mPDAC). V Krishna, E Tiu, V Krishna, D Vrabac, K Shah, W Abuzeid, K Smith, ... Journal of Clinical Oncology 41 (4_suppl), 743-743, 2023 | | 2023 |
| 43/# 512 Assessing robustness of an artificial intelligence derived histological biomarker across different sites of disease and in serial sections in tubo-ovarian high-grade … R Krishnan, E Tiu, V Krishna, V Nimgaonkar, H Bhambhvani, ... International Journal of Gynecologic Cancer 32 (Suppl 3), 2022 | | 2022 |
