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Disambiguation of "Ravikumar, Nishant"

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The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays.

, , , , and . MedInfo, volume 290 of Studies in Health Technology and Informatics, page 679-683. IOS Press, (2021)

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Nishant Agarwal

Nishant Malik

Nishant Singhal

Nishant Nandanwar

Nishant Malik

 

Other publications of authors with the same name

Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale., , , , , , , , and . Medical Image Anal., (2022)Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data., , , , and . Medical Image Anal., (2019)Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images., , , , and . CoRR, (2021)Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation., , , , and . IEEE Trans. Medical Imaging, 40 (7): 1838-1851 (2021)Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound., , , , , , , , , and 2 other author(s). MICCAI (4), volume 13434 of Lecture Notes in Computer Science, page 300-309. Springer, (2022)A Deep Discontinuity-Preserving Image Registration Network., , , and . MICCAI (4), volume 12904 of Lecture Notes in Computer Science, page 46-55. Springer, (2021)Robust group-wise rigid registration of point sets using t-mixture model., , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97840S. SPIE, (2016)Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation., , , and . CVPR Workshops, page 2897-2904. IEEE, (2022)Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI., , , , , , , and . SASHIMI@MICCAI, volume 14288 of Lecture Notes in Computer Science, page 32-41. Springer, (2023)Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability., , , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 109520O. SPIE, (2019)