E-LIB Suche - Ergebnisse für: Gyawali, Prashnna K.

1

Improving genetic risk prediction across diverse population..:

Gyawali, Prashnna K. ; Le Guen, Yann ; Liu, Xiaoxia...
Communications Biology. 6 (2023) 1 - p. , 2023

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

2

Learning Transferable Object-Centric Diffeomorphic Transfor..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2023,

Kumar, Nilesh ; Gyawali, Prashnna K. ; Ghimire, Sandesh. - p. 255-265 , 2023

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

3

GhostKnockoff inference empowers identification of putative..:

He, Zihuai ; Liu, Linxi ; Belloy, Michael E....
Nature Communications. 13 (2022) 1 - p. , 2022

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

4

Learning to Disentangle Inter-Subject Anatomical Variations..:

Gyawali, Prashnna K. ; Murkute, Jaideep Vitthal ; Toloubidokhti, Maryam...
IEEE Transactions on Biomedical Engineering. 69 (2022) 2 - p. 860-870 , 2022

Link: https://doi.org/10.1109/..

5

Interpretable Modeling and Reduction of Unknown Errors in M..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2022,

Toloubidokhti, Maryam ; Kumar, Nilesh ; Li, Zhiyuan... - p. 459-468 , 2022

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

6

Semi-Supervised Learning for Eye Image Segmentation:

, In: ACM Symposium on Eye Tracking Research and Applications,

Chaudhary, Aayush Kumar ; Gyawali, Prashnna K ; Wang, Linwei. - p. 1-7 , 2021

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

7

Deep Adaptive Electrocardiographic Imaging with Generative ..:

, In: Functional Imaging and Modeling of the Heart; Lecture Notes in Computer Science,

Toloubidokhti, Maryam ; Gyawali, Prashnna K. ; Gharbia, Omar A.... - p. 471-481 , 2021

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

8

A hybrid machine learning approach to localizing the origin..:

Missel, Ryan ; Gyawali, Prashnna K. ; Murkute, Jaideep Vitthal...
Computers in Biology and Medicine. 126 (2020) - p. 104013 , 2020

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

9

T2FNorm: Extremely Simple Scaled Train-time Feature Normali..:

Regmi, Sudarshan ; Panthi, Bibek ; Dotel, Sakar...
http://arxiv.org/abs/2305.17797. , 2023

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

10

Learning Transferable Object-Centric Diffeomorphic Transfor..:

Kumar, Nilesh ; Gyawali, Prashnna K ; Ghimire, Sandesh.
http://arxiv.org/abs/2307.13645. , 2023

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

11

Interpretable Modeling and Reduction of Unknown Errors in M..:

Toloubidokhti, Maryam ; Kumar, Nilesh ; Li, Zhiyuan...
http://arxiv.org/abs/2211.01373. , 2022

Link: http://arxiv.org/abs/221..

12

Improving genetic risk prediction across diverse population..:

Gyawali, Prashnna K ; Guen, Yann Le ; Liu, Xiaoxia...
http://arxiv.org/abs/2205.04673. , 2022

Link: http://arxiv.org/abs/220..

13

Ensembling improves stability and power of feature selectio..:

Gyawali, Prashnna K ; Liu, Xiaoxia ; Zou, James.
http://arxiv.org/abs/2210.00604. , 2022

Link: http://arxiv.org/abs/221..

14

Semi-Supervised Learning for Eye Image Segmentation:

Chaudhary, Aayush K ; Gyawali, Prashnna K ; Wang, Linwei.
http://arxiv.org/abs/2103.09369. , 2021

Link: http://arxiv.org/abs/210..

15

Analysis of Discriminator in RKHS Function Space for Kullba..:

Ghimire, Sandesh ; Gyawali, Prashnna K ; Wang, Linwei
http://arxiv.org/abs/2002.11187. , 2020

Link: http://arxiv.org/abs/200..