E-LIB Suche - Ergebnisse für: Nichyporuk, Brennan

1

Debiasing Counterfactuals in the Presence of Spurious Corre..:

, In: Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging; Lecture Notes in Computer Science,

Kumar, Amar ; Fathi, Nima ; Mehta, Raghav... - p. 276-286 , 2023

Link: https://doi.org/10.1007/..

2

Information Gain Sampling for Active Learning in Medical Im..:

, In: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging; Lecture Notes in Computer Science,

Mehta, Raghav ; Shui, Changjian ; Nichyporuk, Brennan. - p. 135-145 , 2022

Link: https://doi.org/10.1007/..

3

Deep Learning Prediction of Response to Disease Modifying T..:

Falet, Jean-Pierre René ; Durso-Finley, Joshua ; Nichyporuk, Brennan...
Neurology. 98 (2022) 18_supplement - p. , 2022

Link: https://doi.org/10.1212/..

4

Estimating individual treatment effect on disability progre..:

Falet, Jean-Pierre R. ; Durso-Finley, Joshua ; Nichyporuk, Brennan...
Nature Communications. 13 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

5

Counterfactual Image Synthesis for Discovery of Personalize..:

, In: Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery; Lecture Notes in Computer Science,

Kumar, Amar ; Hu, Anjun ; Nichyporuk, Brennan... - p. 113-124 , 2022

Link: https://doi.org/10.1007/..

6

Cohort Bias Adaptation in Aggregated Datasets for Lesion Se..:

, In: Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health; Lecture Notes in Computer Science,

Nichyporuk, Brennan ; Cardinell, Jillian ; Szeto, Justin... - p. 101-111 , 2021

Link: https://doi.org/10.1007/..

7

Understanding metric-related pitfalls in image analysis val..:

Reinke, Annika ; Tizabi, Minu D ; Baumgartner, Michael...
10.48550/arXiv.2302.01790. , 2023

Link: https://hdl.handle.net/1..

8

Understanding metric-related pitfalls in image analysis val..:

Reinke, Annika ; Tizabi, Minu D ; Baumgartner, Michael...
info:eu-repo/semantics/altIdentifier/arxiv/2302.01790. , 2023

Link: https://hal.science/hal-..

9

Debiasing Counterfactuals In the Presence of Spurious Corre..:

Kumar, Amar ; Fathi, Nima ; Mehta, Raghav...
http://arxiv.org/abs/2308.10984. , 2023

Link: http://arxiv.org/abs/230..

10

Understanding metric-related pitfalls in image analysis val..:

Reinke, Annika ; Tizabi, Minu D ; Baumgartner, Michael...
http://arxiv.org/abs/2302.01790. , 2023

Link: http://arxiv.org/abs/230..

11

Understanding metric-related pitfalls in image analysis val..:

Reinke, Annika ; Tizabi, Minu D ; Baumgartner, Michael...
https://discovery.ucl.ac.uk/id/eprint/10183142/1/2302.01790-2.pdf. , 2023

Link: https://discovery.ucl.ac..

12

Understanding metric-related pitfalls in image analysis val..:

Reinke, Annika ; Tizabi, Minu D ; Baumgartner, Michael...
info:eu-repo/semantics/altIdentifier/arxiv/2302.01790. , 2023

Link: https://hal.science/hal-..

13

Improving Robustness and Reliability in Medical Image Class..:

Shen, Xing ; Huang, Hengguan ; Nichyporuk, Brennan.
http://arxiv.org/abs/2310.15952. , 2023

Link: http://arxiv.org/abs/231..

14

Understanding metric-related pitfalls in image analysis val..:

Reinke, Annika ; Tizabi, Minu D ; Baumgartner, Michael...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029046/. , 2023

Link: http://www.ncbi.nlm.nih...

15

Understanding metric-related pitfalls in image analysis val..:

Reinke, Annika ; Tizabi, Minu D ; Baumgartner, Michael...
info:eu-repo/semantics/altIdentifier/arxiv/2302.01790. , 2023

Link: https://hal.science/hal-..