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Jacob Rosenthal
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2020 – today
- 2024
- [j5]Alan Q. Wang
, Batuhan K. Karaman
, Heejong Kim
, Jacob Rosenthal
, Rachit Saluja, Sean I. Young
, Mert R. Sabuncu:
A Framework for Interpretability in Machine Learning for Medical Imaging. IEEE Access 12: 53277-53292 (2024) - 2023
- [j4]Alexandros Karargyris
, Renato Umeton
, Micah J. Sheller
, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati
, Hasan Kassem
, Maximilian Zenk
, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade
, Jacob Rosenthal
, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist
, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian
, Xinxing Xu
, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni
, Eshna Sengupta, Akshay Chaudhari
, Cody Coleman, Bala Desinghu
, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin
, Xinyuan Huang, Satyananda Kashyap
, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni
, Virendra Mehta
, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu
, Prashant Shah
, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni
, Massimo Loda
, Jason M. Johnson
, Spyridon Bakas
, Peter Mattson
:
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - [i3]Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu:
A Framework for Interpretability in Machine Learning for Medical Imaging. CoRR abs/2310.01685 (2023) - 2022
- [i2]David Brundage, Jacob Rosenthal, Ryan Carelli, Sophie Rand, Renato Umeton, Massimo Loda, Luigi Marchionni:
Whole Slide Image to DICOM Conversion as Event-Driven Cloud Infrastructure. CoRR abs/2203.13888 (2022) - 2021
- [j3]Alexander Chowdhury, Jacob Rosenthal
, Jonathan Waring, Renato Umeton
:
Applying Self-Supervised Learning to Medicine: Review of the State of the Art and Medical Implementations. Informatics 8(3): 59 (2021) - [i1]Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Jacob Rosenthal
, Abhishek Singh, Jayaraman J. Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M. Johnson, Peter Mattson:
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR abs/2110.01406 (2021)
2010 – 2019
- 2014
- [c1]Troy McDaniel
, Shantanu Bala, Jacob Rosenthal, Ramin Tadayon, Arash Tadayon, Sethuraman Panchanathan:
Affective Haptics for Enhancing Access to Social Interactions for Individuals Who are Blind. HCI (4) 2014: 419-429 - 2012
- [j2]Jacob Rosenthal:
Probabilities as Ratios of Ranges in Initial-State Spaces. J. Log. Lang. Inf. 21(2): 217-236 (2012) - 2011
- [j1]Jacob Rosenthal, Nathan Edwards, Daniel Villanueva, Sreekar Krishna, Troy McDaniel
, Sethuraman Panchanathan:
Design, Implementation, and Case Study of a Pragmatic Vibrotactile Belt. IEEE Trans. Instrum. Meas. 60(1): 114-125 (2011)
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last updated on 2024-06-10 20:32 CEST by the dblp team
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