Nitin Singhal

43 papers A* 1B 3C 1Journal 10Unranked 28
YearRankTypeTitle / Venue / Authors
2025 J jnl
Ensemble YOLO Framework for Multi-Domain Mitotic Figure Detection in Histopathology Images.
CoRR
Navya Sri Kelam, Akash Parekh, Saikiran Bonthu, Nitin Singhal
2025 — conf
Multi-Modal Integration for Predicting Biochemical Recurrence in Prostate Cancer.
ISBI
Santosh Dudhabhate, Nilanjan Chattopadhyay, Akash Parekh, Nitin Singhal
2025 — conf
Segmentation in Histopathology Utilising Simulated Masked Patches.
MIUA (3)
Aashay Tinaikar, Nitin Singhal
2025 — conf
TC-MNET: Multi-Magnification Network Using Pvt and Convnext for Microscopic Image Segmentation.
ISBI
Pranab Samanta, Owaish, Nitin Singhal
2025 — conf
WSI-AL: A Novel Active Learning Framework for Whole Slide Image Selection.
MIUA (2)
Surya Achanta, Dinisha Kadam, Nilanjan Chattopadhyay, Nitin Singhal
2024 J jnl
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble.
CoRR
Tanya Chutani, Saikiran Bonthu, Pranab Samanta, Nitin Singhal
2024 — conf
CGFLasso: Combating Multicollinearity using Domain Knowledge.
COMAD/CODS
Soumya Sarkar, Nitin Singhal, Shweta Jain, Shashi Shekhar Jha
2024 — conf
Ensembled SegNeXt Based Glomeruli Segmentation.
MOVI@MICCAI
Amit Kumar, Dev Kumar Das, Gunjan Deotale, Vedant Dalimkar, Tijo Thomas, Nitin Singhal
2023 — conf
Prototype Governed Contrastive Learning for Robust Image Classification in Histopathology.
ISBI
Aashay Tinaikar, Geetank Raipuria, Nitin Singhal
2023 — conf
TransEM-Net: Transformer Based Efficient Multi-Magnification Network for Histopathology.
ISBI
Geetank Raipuria, Aman Srivastava, Nitin Singhal
2022 J jnl
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images.
IEEE Trans. Medical Imaging
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
2022 J jnl
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images.
CoRR
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
2022 — conf
FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics.
ECCV Workshops (7)
Nilanjan Chattopadhyay, Shiv Gehlot, Nitin Singhal
2022 J jnl
FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics.
CoRR
Nilanjan Chattopadhyay, Shiv Gehlot, Nitin Singhal
2022 — conf
LADEN: Lesion-Aware Adversarial Deep Network for Grading of Macular Diseases Using Color Fundus Images.
ISBI
Ravi Kamble, Aman Srivastava, Nitin Singhal
2022 — conf
RAE-Net: a deep learning system for staging of estrous cycle.
Digital and Computational Pathology
Digant Patel, Pranab Samanta, Ravi Kamble, Nitin Singhal
2022 — conf
Rethinking ImageNet Pre-training for Computational Histopathology.
EMBC
Indranil Ray, Geetank Raipuria, Nitin Singhal
2022 — conf
Self-Ensemble Distillation Using Mean Teachers with Long & Short Memory.
ISBI
Nilanjan Chattopadhyay, Geetank Raipuria, Nitin Singhal
2022 — conf
Stain-AgLr: Stain Agnostic Learning for Computational Histopathology Using Domain Consistency and Stain Regeneration Loss.
DART@MICCAI
Geetank Raipuria, Anu Shrivastava, Nitin Singhal
2022 — conf
YAMU: Yet Another Modified U-Net Architecture for Semantic Segmentation.
MIDL
Pranab Samanta, Nitin Singhal
2021 — conf
Context Aggregation Network For Semantic Labeling In Histopathology Images.
ISBI
Pranab Samanta, Geetank Raipuria, Nitin Singhal
2020 — conf
Carcino-Net: A Deep Learning Framework for Automated Gleason Grading of Prostate Biopsies.
EMBC
Avinash Lokhande, Saikiran Bonthu, Nitin Singhal
2020 — conf
Deep Learning Based Junctional Zone Quantification using 3D Transvaginal Ultrasound in Assisted Reproduction.
EMBC
Nitin Singhal, Srinivas Kudavelly, G. A. Ramaraju
2020 — conf
Histopathological Stain Transfer Using Style Transfer Network with Adversarial Loss.
MICCAI (5)
Harshal Nishar, Nikhil Chavanke, Nitin Singhal
2020 J jnl
Histopathological Stain Transfer using Style Transfer Network with Adversarial Loss.
CoRR
Harshal Nishar, Nikhil Chavanke, Nitin Singhal
2020 — conf
Noise Robust Training of Segmentation Model Using Knowledge Distillation.
ICPR Workshops (1)
Geetank Raipuria, Saikiran Bonthu, Nitin Singhal
2020 — conf
Optic Disc, Cup and Fovea Detection from Retinal Images Using U-Net++ with EfficientNet Encoder.
OMIA@MICCAI
Ravi Kamble, Pranab Samanta, Nitin Singhal
2020 — conf
Vacuole Segmentation and Quantification in Liver Images of Wistar Rat.
EMBC
Sanket Deshmukh, Avinash Lokhande, Ratul Wasnik, Nitin Singhal
2019 — conf
Automated measurement of fetal right-myocardial performance index from pulsed wave Doppler spectrum.
Computer-Aided Diagnosis
Rahul Suresh, Srinivasan Sivanandan, Nitin Singhal, Jinyong Lee, Mi-Young Lee, Hye-Sung Won
2018 — conf
Automated ovarian volume quantification in transvaginal ultrasound.
ISBI
Ravi Teja Narra, Nitin Singhal, Nikhil S. Narayan, G. A. Ramaraju
2017 — conf
Automated assessment of endometrium from transvaginal ultrasound using Deep Learned Snake.
ISBI
Nitin Singhal, Suvadip Mukherjee, Christian Perrey
2016 — conf
Hybrid approach for automatic segmentation of fetal abdomen from ultrasound images using deep learning.
ISBI
Hariharan Ravishankar, Sahana M. Prabhu, Vivek Vaidya, Nitin Singhal
2014 J jnl
Object oriented framework for real-time image processing on GPU.
Multim. Tools Appl.
Nicolas Seiller, Williem, Nitin Singhal, In Kyu Park
2012 J jnl
Implementation and Optimization of Image Processing Algorithms on Embedded GPU.
IEICE Trans. Inf. Syst.
Nitin Singhal, Jin Woo Yoo, Ho Yeol Choi, In Kyu Park
2011 J jnl
Design and Performance Evaluation of Image Processing Algorithms on GPUs.
IEEE Trans. Parallel Distributed Syst.
In Kyu Park, Nitin Singhal, Man Hee Lee, Sungdae Cho, Chris W. Kim
2011 — conf
Design and optimization of image processing algorithms on mobile GPU.
SIGGRAPH Posters
Nitin Singhal, Jin Woo Yoo, Ho Yeol Choi, In Kyu Park
2010 B conf
Implementation and optimization of image processing algorithms on handheld GPU.
ICIP
Nitin Singhal, In Kyu Park, Sungdae Cho
2010 — conf
Mobile photo collage.
CVPR Workshops
Man Hee Lee, Nitin Singhal, Sungdae Cho, In Kyu Park
2010 A* conf
Motion sketch.
SIGGRAPH ASIA (Posters)
Nitin Singhal, Byungjun Son, Sungdae Cho
2010 B conf
Object oriented framework for real-time image processing on GPU.
ICIP
Nicolas Seiller, Nitin Singhal, In Kyu Park
2009 B conf
Efficient design and implementation of visual computing algorithms on the GPU.
ICIP
In Kyu Park, Nitin Singhal, Man Hee Lee, Sungdae Cho
2009 J jnl
Robust image watermarking using local Zernike moments.
J. Vis. Commun. Image Represent.
Nitin Singhal, Young-Yoon Lee, Chang-Su Kim, Sang-Uk Lee
2007 C conf
Robust Image Watermarking Based on Local Zernike Moments.
MMSP
Nitin Singhal, Young-Yoon Lee, Chang-Su Kim, Sang-Uk Lee