| Harnessing multimodal data integration to advance precision oncology KM Boehm, P Khosravi, R Vanguri, J Gao, SP Shah Nature Reviews Cancer 22 (2), 114-126, 2022 | 230 | 2022 |
| Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer KM Boehm, EA Aherne, L Ellenson, I Nikolovski, M Alghamdi, ... Nature Cancer 3 (6), 723-733, 2022 | 105 | 2022 |
| Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L) 1 blockade in patients with non-small cell lung cancer RS Vanguri, J Luo, AT Aukerman, JV Egger, CJ Fong, N Horvat, ... Nature cancer 3 (10), 1151-1164, 2022 | 96 | 2022 |
| Ovarian cancer mutational processes drive site-specific immune evasion I Vázquez-García, F Uhlitz, N Ceglia, JLP Lim, M Wu, N Mohibullah, ... Nature 612 (7941), 778-786, 2022 | 71 | 2022 |
| Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome KM Boehm, B Bhinder, VJ Raja, N Dephoure, O Elemento BMC bioinformatics 20, 1-11, 2019 | 47 | 2019 |
| Improved data normalization methods for reverse phase protein microarray analysis of complex biological samples A Chiechi, C Mueller, KM Boehm, A Romano, MS Benassi, P Picci, ... Biotechniques, 1, 2012 | 39 | 2012 |
| Retrievable stent thrombectomy in the treatment of acute ischemic stroke: analysis of a revolutionizing treatment technique BP Walcott, KM Boehm, CJ Stapleton, BP Mehta, BV Nahed, CS Ogilvy Journal of Clinical Neuroscience 20 (10), 1346-1349, 2013 | 33 | 2013 |
| Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations NC Swinburne, V Yadav, J Kim, YR Choi, DC Gutman, JT Yang, N Moss, ... Radiology 303 (1), 80-89, 2022 | 7 | 2022 |
| Characterization of recurrences following second breast-conserving surgery with intraoperative radiotherapy KM Boehm, J Chen, S Trichter, H Abdallah, R Zhuo, EJ Nowak, J Ng, ... Annals of Surgical Oncology 27, 1638-1644, 2020 | 7 | 2020 |
| Immune and malignant cell phenotypes of ovarian cancer are determined by distinct mutational processes I Vázquez-García, F Uhlitz, N Ceglia, JLP Lim, M Wu, N Mohibullah, ... bioRxiv, 2021.08. 24.454519, 2021 | 6 | 2021 |
| Tissue engineering and regenerative medicine S Sundaram, J Siewert, J Balestrini, A Gard, K Boehm, E Wilcox, ... Rossi's Principles of Transfusion Medicine, 488-504, 2016 | 4 | 2016 |
| Multimodal integration of radiology, pathology, and genomics for prediction of response to PD-1 blockade in patients with non–small cell lung cancer. J Luo, RS Vanguri, AT Aukerman, JV Egger, CJ Fong, N Horvat, ... Journal of Clinical Oncology 40 (16_suppl), 9064-9064, 2022 | 3 | 2022 |
| Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer KM Boehm, S Wang, KE Burtt, B Turkbey, S Weisenthal, P Pinto, ... Medical Imaging 2015: Computer-Aided Diagnosis 9414, 200-207, 2015 | 1 | 2015 |
| Multimodal modeling of digitized histopathology slides improves risk stratification in hormone receptor-positive breast cancer patients KM Boehm, A Marra, JS Reis-Filho, S Chandarlapaty, F Pareja, SP Shah Cancer Research 84 (6_Supplement), 890-890, 2024 | | 2024 |
| Multimodal histopathologic models stratify hormone receptor-positive early breast cancer KM Boehm, OSM El Nahhas, A Marra, P Selenica, HY Wen, B Weigelt, ... bioRxiv, 2024.02. 23.581806, 2024 | | 2024 |
| Abstract LB149: Luna Pathology: An integrated open source platform for computational pathology research D Rose, A Aukerman, D Patel, A Pasha, A Kohli, I Vázquez-García, ... Cancer Research 82 (12_Supplement), LB149-LB149, 2022 | | 2022 |
| Automated Segmentation of Adnexal Ovarian Metastases Using Joint Distribution Wasserstein Distance Loss Metric A Nazib, K Boehm, V Paroder, S Shah, Y Lakhman, H Veeraraghavan MEDICAL PHYSICS 49 (6), E785-E786, 2022 | | 2022 |
