Zobrazeno 1 - 10
of 6 736
pro vyhledávání: '"Vanderbilt A"'
Autor:
Deitke, Matt, Clark, Christopher, Lee, Sangho, Tripathi, Rohun, Yang, Yue, Park, Jae Sung, Salehi, Mohammadreza, Muennighoff, Niklas, Lo, Kyle, Soldaini, Luca, Lu, Jiasen, Anderson, Taira, Bransom, Erin, Ehsani, Kiana, Ngo, Huong, Chen, YenSung, Patel, Ajay, Yatskar, Mark, Callison-Burch, Chris, Head, Andrew, Hendrix, Rose, Bastani, Favyen, VanderBilt, Eli, Lambert, Nathan, Chou, Yvonne, Chheda, Arnavi, Sparks, Jenna, Skjonsberg, Sam, Schmitz, Michael, Sarnat, Aaron, Bischoff, Byron, Walsh, Pete, Newell, Chris, Wolters, Piper, Gupta, Tanmay, Zeng, Kuo-Hao, Borchardt, Jon, Groeneveld, Dirk, Dumas, Jen, Nam, Crystal, Lebrecht, Sophie, Wittlif, Caitlin, Schoenick, Carissa, Michel, Oscar, Krishna, Ranjay, Weihs, Luca, Smith, Noah A., Hajishirzi, Hannaneh, Girshick, Ross, Farhadi, Ali, Kembhavi, Aniruddha
Today's most advanced multimodal models remain proprietary. The strongest open-weight models rely heavily on synthetic data from proprietary VLMs to achieve good performance, effectively distilling these closed models into open ones. As a result, the
Externí odkaz:
http://arxiv.org/abs/2409.17146
Autor:
Wang, Yi Kan, Tydlitatova, Ludmila, Kunz, Jeremy D., Oakley, Gerard, Godrich, Ran A., Lee, Matthew C. H., Vanderbilt, Chad, Yousfi, Razik, Fuchs, Thomas, Klimstra, David S., Liu, Siqi
Many molecular alterations serve as clinically prognostic or therapy-predictive biomarkers, typically detected using single or multi-gene molecular assays. However, these assays are expensive, tissue destructive and often take weeks to complete. Usin
Externí odkaz:
http://arxiv.org/abs/2408.09554
It was recently argued that Bernal stacked bilayer graphene (BLG) exposed to a 2D superlattice (SL) potential exhibits a variety of intriguing behaviors [Ghorashi et al., Phys. Rev. Lett. 130, 196201 (2023)]. Chief among them is the appearance of fla
Externí odkaz:
http://arxiv.org/abs/2407.13758
Autor:
Chen, Shengjia, Campanella, Gabriele, Elmas, Abdulkadir, Stock, Aryeh, Zeng, Jennifer, Polydorides, Alexandros D., Schoenfeld, Adam J., Huang, Kuan-lin, Houldsworth, Jane, Vanderbilt, Chad, Fuchs, Thomas J.
Recent advances in artificial intelligence (AI), in particular self-supervised learning of foundation models (FMs), are revolutionizing medical imaging and computational pathology (CPath). A constant challenge in the analysis of digital Whole Slide I
Externí odkaz:
http://arxiv.org/abs/2407.07841
Autor:
Campanella, Gabriele, Chen, Shengjia, Verma, Ruchika, Zeng, Jennifer, Stock, Aryeh, Croken, Matt, Veremis, Brandon, Elmas, Abdulkadir, Huang, Kuan-lin, Kwan, Ricky, Houldsworth, Jane, Schoenfeld, Adam J., Vanderbilt, Chad
The use of self-supervised learning (SSL) to train pathology foundation models has increased substantially in the past few years. Notably, several models trained on large quantities of clinical data have been made publicly available in recent months.
Externí odkaz:
http://arxiv.org/abs/2407.06508
Publikováno v:
Advances in Medical Education and Practice, Vol Volume 10, Pp 667-676 (2019)
Aaron D Baugh,1 Allison A Vanderbilt,2 Reginald F Baugh31Pulmonary and Critical Care Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA; 2Emergency Medicine, Fulton County Health Center, Wauseon, OH, USA;
Externí odkaz:
https://doaj.org/article/1b631c76a5fa4473b36653a60037b831
Publikováno v:
Advances in Medical Education and Practice, Vol Volume 10, Pp 39-42 (2019)
Juli A Lambert,1 Allison A Vanderbilt,2 Thomas J Papadimos3 1College of Medicine and Life Sciences, University of Toledo, Toledo, OH, USA; 2Curriculum Evaluation and Innovation, Family Medicine College of Medicine and Life Sciences, University of Tol
Externí odkaz:
https://doaj.org/article/1f37b00853de49a6b24f6db1be97c6c6
Autor:
Anderson PM, Vanderbilt AA
Publikováno v:
Advances in Medical Education and Practice, Vol Volume 9, Pp 495-498 (2018)
Paige M Anderson, Allison A Vanderbilt College of Medicine and Life Sciences, University of Toledo, Toledo, OH, USA Abstract: Cultural competence (CC) training has become a required part of medical education to create future physicians dedicated to d
Externí odkaz:
https://doaj.org/article/02887db460864bba8f30b02352c212d1
Publikováno v:
Advances in Medical Education and Practice, Vol Volume 9, Pp 53-61 (2018)
Alexis Danielle Vick,1 Aaron Baugh,2 Julie Lambert,1 Allison A Vanderbilt,3 Evan Ingram,1 Richard Garcia,4 Reginald F Baugh5 1College of Medicine and Life Sciences, 2Department of Internal Medicine, 3Department of Family Medicine, College of Medicine
Externí odkaz:
https://doaj.org/article/3188b950e1dc42338b7bd5730ba66947
Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling
Artificial Intelligence (AI) has great potential to improve health outcomes by training systems on vast digitized clinical datasets. Computational Pathology, with its massive amounts of microscopy image data and impact on diagnostics and biomarkers,
Externí odkaz:
http://arxiv.org/abs/2403.04865