Shiv Gehlot

About Shiv Gehlot

Shiv Gehlot, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Indraprastha Institute of Information Technology, specializes in the field of Deep Learning, Medical Imaging, Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism

LIDACS: A Lightweight Domain Adaptive Cell Segmentation Framework

SYSTEMS, METHODS, AND APPARATUSES FOR SYSTEMATICALLY DETERMINING AN OPTIMAL APPROACH FOR THE COMPUTER-AIDED DIAGNOSIS OF A PULMONARY EMBOLISM

Microscopy Cancer Cell Imaging in B-lineage Acute Lymphoblastic Leukemia

SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images

FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics

C-NMC: B-lineage acute lymphoblastic leukaemia: A blood cancer dataset

WTL-I: Mutual information based Wavelet Transform Learning for Hyperspectral Imaging

Shiv Gehlot Information

University

Position

___

Citations(all)

250

Citations(since 2020)

248

Cited By

27

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Shiv Gehlot Skills & Research Interests

Deep Learning

Medical Imaging

Signal Processing

Top articles of Shiv Gehlot

Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism

Medical image analysis

2024/1/1

LIDACS: A Lightweight Domain Adaptive Cell Segmentation Framework

2023/9/15

SYSTEMS, METHODS, AND APPARATUSES FOR SYSTEMATICALLY DETERMINING AN OPTIMAL APPROACH FOR THE COMPUTER-AIDED DIAGNOSIS OF A PULMONARY EMBOLISM

2023/3/16

Microscopy Cancer Cell Imaging in B-lineage Acute Lymphoblastic Leukemia

2023/1/1

FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics

2022/10/23

Shiv Gehlot
Shiv Gehlot

H-Index: 3

C-NMC: B-lineage acute lymphoblastic leukaemia: A blood cancer dataset

Medical Engineering & Physics

2022/5/1

WTL-I: Mutual information based Wavelet Transform Learning for Hyperspectral Imaging

Frontiers in Signal Processing

2022

Shiv Gehlot
Shiv Gehlot

H-Index: 3

Anubha Gupta
Anubha Gupta

H-Index: 15

Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification and Segmentation

2021

Shiv Gehlot
Shiv Gehlot

H-Index: 3

Anubha Gupta
Anubha Gupta

H-Index: 15

Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection

2021

A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis

Medical image analysis

2021/8/1

GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images

Medical Image Analysis

2020/10/1

EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation

2020/5/4

SDCT-AuxNetθ: DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis

Medical Image Analysis

2020/4/1

See List of Professors in Shiv Gehlot University(Indraprastha Institute of Information Technology)

Co-Authors

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