Nitin Singhal

According to our database, Nitin Singhal authored at least 33 papers between 2007 and 2024.

Collaborative distances:

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

2024

CGFLasso: Combating Multicollinearity using Domain Knowledge.

Soumya Sarkar, Nitin Singhal, Shweta Jain, Shashi Shekhar Jha

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

Prototype Governed Contrastive Learning for Robust Image Classification in Histopathology.

Aashay Tinaikar, Geetank Raipuria, Nitin Singhal

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

TransEM-Net: Transformer Based Efficient Multi-Magnification Network for Histopathology.

Geetank Raipuria, Aman Srivastava, Nitin Singhal

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images.

Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, Ching-Wei Wang, Shih-Chang Lo, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu

IEEE Trans. Medical Imaging, 2022

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images.

Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu

CoRR, 2022

YAMU: Yet Another Modified U-Net Architecture for Semantic Segmentation.

Pranab Samanta, Nitin Singhal

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Stain-AgLr: Stain Agnostic Learning for Computational Histopathology Using Domain Consistency and Stain Regeneration Loss.

Geetank Raipuria, Anu Shrivastava, Nitin Singhal

Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

LADEN: Lesion-Aware Adversarial Deep Network for Grading of Macular Diseases Using Color Fundus Images.

Ravi Kamble, Aman Srivastava, Nitin Singhal

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Self-Ensemble Distillation Using Mean Teachers with Long & Short Memory.

Nilanjan Chattopadhyay, Geetank Raipuria, Nitin Singhal

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Rethinking ImageNet Pre-training for Computational Histopathology.

Indranil Ray, Geetank Raipuria, Nitin Singhal

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

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

Nilanjan Chattopadhyay, Shiv Gehlot, Nitin Singhal

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Context Aggregation Network For Semantic Labeling In Histopathology Images.

Pranab Samanta, Geetank Raipuria, Nitin Singhal

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

2020

Histopathological Stain Transfer Using Style Transfer Network with Adversarial Loss.

Harshal Nishar, Nikhil Chavanke, Nitin Singhal

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Optic Disc, Cup and Fovea Detection from Retinal Images Using U-Net++ with EfficientNet Encoder.

Ravi Kamble, Pranab Samanta, Nitin Singhal

Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020

Noise Robust Training of Segmentation Model Using Knowledge Distillation.

Geetank Raipuria, Saikiran Bonthu, Nitin Singhal

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Deep Learning Based Junctional Zone Quantification using 3D Transvaginal Ultrasound in Assisted Reproduction.

Nitin Singhal, Srinivas Kudavelly, G. A. Ramaraju

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Carcino-Net: A Deep Learning Framework for Automated Gleason Grading of Prostate Biopsies.

Avinash Lokhande, Saikiran Bonthu, Nitin Singhal

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Vacuole Segmentation and Quantification in Liver Images of Wistar Rat.

Sanket Deshmukh, Avinash Lokhande, Ratul Wasnik, Nitin Singhal

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Automated measurement of fetal right-myocardial performance index from pulsed wave Doppler spectrum.

Rahul Suresh, Srinivasan Sivanandan, Nitin Singhal, JinYong Lee, Mi-Young Lee, Hye-Sung Won

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018

Automated ovarian volume quantification in transvaginal ultrasound.

Ravi Teja Narra, Nitin Singhal, Nikhil S. Narayan, G. A. Ramaraju

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Automated assessment of endometrium from transvaginal ultrasound using Deep Learned Snake.

Nitin Singhal, Suvadip Mukherjee, Christian Perrey

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Hybrid approach for automatic segmentation of fetal abdomen from ultrasound images using deep learning.

Hariharan Ravishankar, Sahana M. Prabhu, Vivek Vaidya, Nitin Singhal

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2014

Object oriented framework for real-time image processing on GPU.

Nicolas Seiller, Williem, Nitin Singhal, In Kyu Park

Multim. Tools Appl., 2014

2012

Implementation and Optimization of Image Processing Algorithms on Embedded GPU.

Nitin Singhal, Jin Woo Yoo, Ho Yeol Choi, In Kyu Park

IEICE Trans. Inf. Syst., 2012

2011

Design and Performance Evaluation of Image Processing Algorithms on GPUs.

In Kyu Park, Nitin Singhal, Man Hee Lee, Sungdae Cho, Chris W. Kim

IEEE Trans. Parallel Distributed Syst., 2011

Design and optimization of image processing algorithms on mobile GPU.

Nitin Singhal, Jin Woo Yoo, Ho Yeol Choi, In Kyu Park

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2011

2010

Motion sketch.

Nitin Singhal, Byungjun Son, Sungdae Cho

Proceedings of the ACM SIGGRAPH ASIA 2010 Posters, Seoul, Republic of Korea, December 15, 2010

Implementation and optimization of image processing algorithms on handheld GPU.

Nitin Singhal, In Kyu Park, Sungdae Cho

Proceedings of the International Conference on Image Processing, 2010

Object oriented framework for real-time image processing on GPU.

Nicolas Seiller, Nitin Singhal, In Kyu Park

Proceedings of the International Conference on Image Processing, 2010

Mobile photo collage.

Man Hee Lee, Nitin Singhal, Sungdae Cho, In Kyu Park

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Robust image watermarking using local Zernike moments.

Nitin Singhal, Young-Yoon Lee, Chang-Su Kim, Sang-Uk Lee

J. Vis. Commun. Image Represent., 2009

Efficient design and implementation of visual computing algorithms on the GPU.

In Kyu Park, Nitin Singhal, Man Hee Lee, Sungdae Cho

Proceedings of the International Conference on Image Processing, 2009

2007

Robust Image Watermarking Based on Local Zernike Moments.

Nitin Singhal, Young-Yoon Lee, Chang-Su Kim, Sang-Uk Lee

Proceedings of the IEEE 9th Workshop on Multimedia Signal Processing, 2007