E-LIB Suche - Ergebnisse für: Seyyed-Kalantari, Laleh

1

Deep learning for computer-aided abnormalities classificati..:

Nalla, Vineela ; Pouriyeh, Seyedamin ; Parizi, Reza M....
Current Problems in Diagnostic Radiology. 53 (2024) 3 - p. 346-352 , 2024

Link: https://doi.org/10.1067/..

2

Impact of multi-source data augmentation on performance of ..:

Hwang, InChan ; Trivedi, Hari ; Brown-Mulry, Beatrice...
Frontiers in Radiology. 3 (2023) - p. , 2023

Link: https://doi.org/10.3389/..

3

AI pitfalls and what not to do: mitigating bias in AI:

Gichoya, Judy Wawira ; Thomas, Kaesha ; Celi, Leo Anthony...
The British Journal of Radiology. 96 (2023) 1150 - p. , 2023

Link: https://doi.org/10.1259/..

4

Reply to: 'Potential sources of dataset bias complicate inv..:

Seyyed-Kalantari, Laleh ; Zhang, Haoran ; McDermott, Matthew B. A...
Nature Medicine. 28 (2022) 6 - p. 1161-1162 , 2022

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

5

AI recognition of patient race in medical imaging: a modell..:

Gichoya, Judy Wawira ; Banerjee, Imon ; Bhimireddy, Ananth Reddy...
The Lancet Digital Health. 4 (2022) 6 - p. e406-e414 , 2022

Link: https://doi.org/10.1016/..

6

An empirical framework for domain generalization in clinica..:

, In: Proceedings of the Conference on Health, Inference, and Learning,

Zhang, Haoran ; Dullerud, Natalie ; Seyyed-Kalantari, Laleh... - p. 279-290 , 2021

Link: https://dl.acm.org/doi/1..

7

Underdiagnosis bias of artificial intelligence algorithms a..:

Seyyed-Kalantari, Laleh ; Zhang, Haoran ; McDermott, Matthew B. A...
Nature Medicine. 27 (2021) 12 - p. 2176-2182 , 2021

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

8

Multivariate Analysis on Performance Gaps of Artificial Int..:

Zhang, Linglin ; Brown-Mulry, Beatrice ; Nalla, Vineela...
http://arxiv.org/abs/2305.04422. , 2023

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

9

Impact of multi-source data augmentation on performance of ..:

Hwang, InChan ; Trivedi, Hari ; Brown-Mulry, Beatrice...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426498/. , 2023

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

10

MLHOps: Machine Learning for Healthcare Operations:

Khattak, Faiza Khan ; Subasri, Vallijah ; Krishnan, Amrit...
http://arxiv.org/abs/2305.02474. , 2023

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

11

Benchmarking bias: Expanding clinical AI model card to inco..:

Heming, Carolina A. M ; Abdalla, Mohamed ; Ahluwalia, Monish...
http://arxiv.org/abs/2311.12560. , 2023

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

12

Towards Trustworthy Artificial Intelligence for Equitable G..:

Qin, Hong ; Kong, Jude ; Ding, Wandi...
http://arxiv.org/abs/2309.05088. , 2023

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

13

Soft-prompt Tuning for Large Language Models to Evaluate Bi..:

Tian, Jacob-Junqi ; Emerson, David ; Miyandoab, Sevil Zanjani...
http://arxiv.org/abs/2306.04735. , 2023

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

14

The Subgroup Imperative: Chest Radiograph Classifier Genera..:

Ahluwalia, Monish ; Abdalla, Mohamed ; Sanayei, James...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546359/. , 2023

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

15

AI recognition of patient race in medical imaging: a modell..:

Gichoya, Judy Wawira ; Banerjee, Imon ; Bhimireddy, Ananth Reddy...
10.1016/S2589-7500(22)00063-2. , 2022

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