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Damir Vrabac
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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
342021
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
192021
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
132020
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
122020
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
92021
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
62023
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
52023
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
32021
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
22022
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
12022
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
12022
Air travel data during the COVID-19 pandemic in the United States
M Shang, J Pham, D Vrabac, B Butler, PE Paré, R Stern
12020
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
44/# 219 Predicting response to platinum-based chemotherapy for tubo-ovarian high-grade serous carcinoma using an artificial intelligence histopathology platform
E Tiu, V Krishna, V Nimgaonkar, R Krishnan, H Bhambhvani, ...
International Journal of Gynecologic Cancer 32 (Suppl 3), 2022
2022
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), 28-29, 2022
2022
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