Aneesh Rangnekar

Aneesh Rangnekar

Rochester Institute of Technology

H-index: 5

North America-United States

About Aneesh Rangnekar

Aneesh Rangnekar, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Rochester Institute of Technology,

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

Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation

SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery

3D Swin Transformer for Partial Medical Auto Segmentation

DDDAS-Based Remote Sensing

Semantic segmentation with active semi-supervised learning

Learning Representations in the Hyperspectral Domain in Aerial Imagery

Semi-supervised hyperspectral object detection challenge results-PBVS 2022

Hyperspectral Camera Characterization of System Spectral Radiance Error for Spectral Identification of Reflective Objects Using Aerial Imagery

Aneesh Rangnekar Information

University

Position

PhD student Chester F. Carlson Center for Imaging Science

Citations(all)

270

Citations(since 2020)

254

Cited By

89

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Rochester Institute of Technology

Google Scholar

View Google Scholar Profile

Top articles of Aneesh Rangnekar

Title

Journal

Author(s)

Publication Date

Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation

arXiv preprint arXiv:2403.13113

Aneesh Rangnekar

Nishant Nadkarni

Jue Jiang

Harini Veeraraghavan

2024/3/19

SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery

Aneesh Rangnekar

Emmett Ientilucci

Christopher Kanan

Matthew Hoffman

2022/10/6

3D Swin Transformer for Partial Medical Auto Segmentation

Aneesh Rangnekar

Jue Jiang

Harini Veeraraghavan

2023/9/17

DDDAS-Based Remote Sensing

Matthew J Hoffman

Aneesh Rangnekar

Zachary Mulhollan

Anthony Vodacek

2023/9/6

Semantic segmentation with active semi-supervised learning

Aneesh Rangnekar

Christopher Kanan

Matthew Hoffman

2023

Learning Representations in the Hyperspectral Domain in Aerial Imagery

Aneesh Prasad Rangnekar

2022

Semi-supervised hyperspectral object detection challenge results-PBVS 2022

Aneesh Rangnekar

Zachary Mulhollan

Anthony Vodacek

Matthew Hoffman

Angel D Sappa

...

2022

Hyperspectral Camera Characterization of System Spectral Radiance Error for Spectral Identification of Reflective Objects Using Aerial Imagery

AGU Fall Meeting Abstracts

Zachary Mulhollan

Donald McKeown

Aneesh Rangnekar

Anthony Vodacek

Matthew Hoffman

2021/12

Fine-tuning for one-look regression vehicle counting in low-shot aerial datasets

Aneesh Rangnekar

Yi Yao

Matthew Hoffman

Ajay Divakaran

2021

Uncertainty estimation for semantic segmentation of hyperspectral imagery

Aneesh Rangnekar

Emmett Ientilucci

Christopher Kanan

Matthew J Hoffman

2020

Occlusion detection for dynamic adaptation

Zachary Mulhollan

Aneesh Rangnekar

Anthony Vodacek

Matthew J Hoffman

2020

Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery

Zachary Mulhollan

Aneesh Rangnekar

Timothy Bauch

Matthew J Hoffman

Anthony Vodacek

2020

See List of Professors in Aneesh Rangnekar University(Rochester Institute of Technology)