Immediate Impact
11 standout
Citing Papers
Survey of Explainable AI Techniques in Healthcare
2023 Standout
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
2023 Standout
Works of John Suckling being referenced
A non-parametric statistical inference framework for Deep Learning in current neuroimaging
2022
On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging
2019
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| John Suckling | 8 | 13 | 8 | 17 | 3 | 45 | |
| Christos Androutsos | 8 | 6 | 14 | 7 | 5 | 60 | |
| U. Felzmann | 10 | 21 | 1 | 19 | 3 | 63 | |
| Neil Killeen | 11 | 24 | 1 | 22 | 4 | 69 | |
| Karthik Gopinath | 7 | 23 | 15 | 25 | 5 | 55 | |
| Yohan Davit | 10 | 6 | 2 | 28 | 2 | 66 | |
| Emmanuel Vallée | 5 | 5 | 17 | 14 | 2 | 44 | |
| Shreyas Padhy | 3 | 6 | 15 | 11 | 2 | 55 | |
| Timo Grimmer | 4 | 21 | 3 | 10 | 2 | 35 | |
| Mengyu Dai | 3 | 27 | 4 | 17 | 4 | 39 | |
| Daniel Bartz | 8 | 42 | 3 | 5 | 3 | 66 |
All Works
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