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V. K. Viekash

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2020 – today

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2023
[j2]
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  - journals/cars/IslamSSVGGR23
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  - https://dblp.org/rec/journals/cars/IslamSSVGGR23
Mobarakol Islam, Lalithkumar Seenivasan, S. P. Sharan, V. K. Viekash, Bhavesh Gupta, Ben Glocker, Hongliang Ren:
Paced-curriculum distillation with prediction and label uncertainty for image segmentation. Int. J. Comput. Assist. Radiol. Surg. 18(10): 1875-1883 (2023)
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  - journals/corr/abs-2302-01049
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Mobarakol Islam, Lalithkumar Seenivasan, S. P. Sharan, V. K. Viekash, Bhavesh Gupta, Ben Glocker, Hongliang Ren:
Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation. CoRR abs/2302.01049 (2023)
2021
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  - journals/cg/MandaDMVM21
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Bharadwaj Manda, Shubham Dhayarkar, Sai Mitheran, V. K. Viekash, Ramanathan Muthuganapathy:
'CADSketchNet' - An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks. Comput. Graph. 99: 100-113 (2021)
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  - journals/corr/abs-2107-06212
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Bharadwaj Manda, Shubham Dhayarkar, Sai Mitheran, V. K. Viekash, Ramanathan Muthuganapathy:
'CADSketchNet' - An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks. CoRR abs/2107.06212 (2021)
[i1]
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  dblp key:
  - journals/corr/abs-2111-11419
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V. K. Viekash, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan:
FAZSeg: A New User-Friendly Software for Quantification of the Foveal Avascular Zone. CoRR abs/2111.11419 (2021)

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