Kumar Abhishek

According to our database, Kumar Abhishek authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-sample ζ-mixup: richer, more realistic synthetic samples from a p-series interpolant.

Kumar Abhishek, Colin J. Brown, Ghassan Hamarneh

J. Big Data, December, 2024

Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets.

Kumar Abhishek, Aditi Jain, Ghassan Hamarneh

CoRR, 2024

2023

A survey on deep learning for skin lesion segmentation.

Zahra Mirikharaji, Kumar Abhishek, Alceu Bissoto, Catarina Barata, Sandra Avila, Eduardo Valle, M. Emre Celebi, Ghassan Hamarneh

Medical Image Anal., August, 2023

DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images.

Ashish Sinha, Jeremy Kawahara, Arezou Pakzad, Kumar Abhishek, Matthieu Ruthven, Enjie Ghorbel, Anis Kacem, Djamila Aouada, Ghassan Hamarneh

CoRR, 2023

2022

Skin3D: Detection and longitudinal tracking of pigmented skin lesions in 3D total-body textured meshes.

Mengliu Zhao, Jeremy Kawahara, Kumar Abhishek, Sajjad Shamanian, Ghassan Hamarneh

Medical Image Anal., 2022

CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions.

Arezou Pakzad, Kumar Abhishek, Ghassan Hamarneh

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Detection and Longitudinal Tracking of Pigmented Skin Lesions in 3D Total-Body Skin Textured Meshes.

Mengliu Zhao, Jeremy Kawahara, Sajjad Shamanian, Kumar Abhishek, Priyanka Chandrashekar, Ghassan Hamarneh

CoRR, 2021

Deep semantic segmentation of natural and medical images: a review.

Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, Ghassan Hamarneh

Artif. Intell. Rev., 2021

Matthews Correlation Coefficient Loss For Deep Convolutional Networks: Application To Skin Lesion Segmentation.

Kumar Abhishek, Ghassan Hamarneh

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

D-LEMA: Deep Learning Ensembles From Multiple Annotations - Application to Skin Lesion Segmentation.

Zahra Mirikharaji, Kumar Abhishek, Saeed Izadi, Ghassan Hamarneh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images.

Kumar Abhishek, Ghassan Hamarneh, Mark S. Drew

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Applying Artificial Intelligence to Glioma Imaging: Advances and Challenges.

Weina Jin, Mostafa Fatehi, Kumar Abhishek, Mayur Mallya, Brian Toyota, Ghassan Hamarneh

CoRR, 2019

Signed Input Regularization.

Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh

CoRR, 2019

Improved Inference via Deep Input Transfer.

Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis.

Kumar Abhishek, Ghassan Hamarneh

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Cloudmaskgan: A Content-Aware Unpaired Image-To-Image Translation Algorithm for Remote Sensing Imagery.

Sorour Mohajerani, Reza Asad, Kumar Abhishek, Neha Sharma, Alysha van Duynhoven, Parvaneh Saeedi

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations.

Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2014

An enhanced algorithm for the quantification of human chorionic gonadotropin (hCG) level in commercially available home pregnancy test kits.

Kumar Abhishek, Mrinal Haloi, Sumohana S. Channappayya, Siva Rama Krishna Vanjari, Dhananjaya Dendukuri, Swathy Sridharan, Tripurari Choudhary, Paridhi Bhandari

Proceedings of the Twentieth National Conference on Communications, 2014