Robust Image Watermarking Based on Local Zernike Moments. - Nitin Singhal; Young-Yoon Lee; Chang-Su Kim 001; Sang-Uk Lee (MMSP, 2007)

Efficient design and implementation of visual computing algorithms on the GPU. - In Kyu Park; Nitin Singhal; Man Hee Lee; Sungdae Cho (ICIP, 2009)

Robust image watermarking using local Zernike moments. - Nitin Singhal; Young-Yoon Lee; Chang-Su Kim 001; Sang-Uk Lee (J. Vis. Commun. Image Represent., 2009)

Mobile photo collage. - Man Hee Lee; Nitin Singhal; Sungdae Cho; In Kyu Park (CVPR Workshops, 2010)

Object oriented framework for real-time image processing on GPU. - Nicolas Seiller; Nitin Singhal; In Kyu Park (ICIP, 2010)

Implementation and optimization of image processing algorithms on handheld GPU. - Nitin Singhal; In Kyu Park; Sungdae Cho (ICIP, 2010)

Motion sketch. - Nitin Singhal; Byungjun Son; Sungdae Cho (SIGGRAPH ASIA (Posters), 2010)

Design and optimization of image processing algorithms on mobile GPU. - Nitin Singhal; Jin Woo Yoo; Ho Yeol Choi; In Kyu Park (SIGGRAPH Posters, 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)

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)

Object oriented framework for real-time image processing on GPU. - Nicolas Seiller; Williem 001; Nitin Singhal; In Kyu Park (Multim. Tools Appl., 2014)

Hybrid approach for automatic segmentation of fetal abdomen from ultrasound images using deep learning. - Hariharan Ravishankar; Sahana M. Prabhu; Vivek Vaidya 001; Nitin Singhal (ISBI, 2016)

Automated assessment of endometrium from transvaginal ultrasound using Deep Learned Snake. - Nitin Singhal; Suvadip Mukherjee; Christian Perrey (ISBI, 2017)

Automated ovarian volume quantification in transvaginal ultrasound. - Ravi Teja Narra; Nitin Singhal; Nikhil S. Narayan; G. A. Ramaraju (ISBI, 2018)

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 (Computer-Aided Diagnosis, 2019)

Vacuole Segmentation and Quantification in Liver Images of Wistar Rat. - Sanket Deshmukh; Avinash Lokhande; Ratul Wasnik; Nitin Singhal (EMBC, 2020)

Carcino-Net: A Deep Learning Framework for Automated Gleason Grading of Prostate Biopsies. - Avinash Lokhande; Saikiran Bonthu; Nitin Singhal (EMBC, 2020)

Deep Learning Based Junctional Zone Quantification using 3D Transvaginal Ultrasound in Assisted Reproduction. - Nitin Singhal; Srinivas Kudavelly; G. A. Ramaraju (EMBC, 2020)

Noise Robust Training of Segmentation Model Using Knowledge Distillation. - Geetank Raipuria; Saikiran Bonthu; Nitin Singhal (ICPR Workshops (1), 2020)

Optic Disc, Cup and Fovea Detection from Retinal Images Using U-Net++ with EfficientNet Encoder. - Ravi Kamble; Pranab Samanta; Nitin Singhal (OMIA@MICCAI, 2020)

Histopathological Stain Transfer Using Style Transfer Network with Adversarial Loss. - Harshal Nishar; Nikhil Chavanke; Nitin Singhal (MICCAI (5), 2020)

Context Aggregation Network For Semantic Labeling In Histopathology Images. - Pranab Samanta; Geetank Raipuria; Nitin Singhal (ISBI, 2021)

FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics. - Nilanjan Chattopadhyay; Shiv Gehlot; Nitin Singhal (ECCV Workshops (7), 2022)

Rethinking ImageNet Pre-training for Computational Histopathology. - Indranil Ray; Geetank Raipuria; Nitin Singhal (EMBC, 2022)

Self-Ensemble Distillation Using Mean Teachers with Long & Short Memory. - Nilanjan Chattopadhyay; Geetank Raipuria; Nitin Singhal (ISBI, 2022)

LADEN: Lesion-Aware Adversarial Deep Network for Grading of Macular Diseases Using Color Fundus Images. - Ravi Kamble; Aman Srivastava; Nitin Singhal (ISBI, 2022)

Stain-AgLr: Stain Agnostic Learning for Computational Histopathology Using Domain Consistency and Stain Regeneration Loss. - Geetank Raipuria; Anu Shrivastava; Nitin Singhal (DART@MICCAI, 2022)

YAMU: Yet Another Modified U-Net Architecture for Semantic Segmentation. - Pranab Samanta; Nitin Singhal (MIDL, 2022)

RAE-Net: a deep learning system for staging of estrous cycle. - Digant Patel; Pranab Samanta; Ravi Kamble; Nitin Singhal (Digital and Computational Pathology, 2022)

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Fengbin Lin; Jaemin Son; Sunho Kim; Gwenolé Quellec; Sarah Matta; Sharath M. Shankaranarayana; Yi-Ting Chen; et al. (CoRR, 2022)

ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Fengbin Lin; Jaemin Son; Sunho Kim; Gwenolé Quellec; Sarah Matta; Sharath M. Shankaranarayana; Yi-Ting Chen; et al. (IEEE Trans. Medical Imaging, 2022)

TransEM-Net: Transformer Based Efficient Multi-Magnification Network for Histopathology. - Geetank Raipuria; Aman Srivastava; Nitin Singhal (ISBI, 2023)

Prototype Governed Contrastive Learning for Robust Image Classification in Histopathology. - Aashay Tinaikar; Geetank Raipuria; Nitin Singhal (ISBI, 2023)

CGFLasso: Combating Multicollinearity using Domain Knowledge. - Soumya Sarkar; Nitin Singhal; Shweta Jain 002; Shashi Shekhar Jha (COMAD/CODS, 2024)

Ensembled SegNeXt Based Glomeruli Segmentation. - Amit Kumar; Dev Kumar Das; Gunjan Deotale; Vedant Dalimkar; Tijo Thomas; Nitin Singhal (MOVI@MICCAI, 2024)

AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble. - Tanya Chutani; Saikiran Bonthu; Pranab Samanta; Nitin Singhal (CoRR, 2024)

Multi-Modal Integration for Predicting Biochemical Recurrence in Prostate Cancer. - Santosh Dudhabhate; Nilanjan Chattopadhyay; Akash Parekh; Nitin Singhal (ISBI, 2025)

TC-MNET: Multi-Magnification Network Using Pvt and Convnext for Microscopic Image Segmentation. - Pranab Samanta; Owaish; Nitin Singhal (ISBI, 2025)

WSI-AL: A Novel Active Learning Framework for Whole Slide Image Selection. - Surya Achanta; Dinisha Kadam; Nilanjan Chattopadhyay; Nitin Singhal (MIUA (2), 2025)

Segmentation in Histopathology Utilising Simulated Masked Patches. - Aashay Tinaikar; Nitin Singhal (MIUA (3), 2025)