Swapnil Rane

15 papers C 2Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
HER2 Status Prediction in Breast Cancer: A Weak Supervision and Contrastive Learning Approach on H&E Stains.
ISBI
Ardhendu Sekhar, Vrinda Goel, Garima Jain, Abhijeet Patil, Aditya Bhangale, Ravi Kant Gupta, Tripti Bameta, Swapnil Rane, Amit Sethi
2024 — conf
Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification.
BIOSTEC (1)
Amruta Parulekar, Utkarsh Kanwat, Ravi Kant Gupta, Medha Chippa, Thomas Jacob, Tripti Bameta, Swapnil Rane, Amit Sethi
2024 J jnl
Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training.
CoRR
Abhijeet Patil, Harsh Diwakar, Jay Sawant, Nikhil Cherian Kurian, Subhash Yadav, Swapnil Rane, Tripti Bameta, Amit Sethi
2024 C conf
HER2 and Fish Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning.
BIBE
Ardhendu Sekhar, Vrinda Goel, Garima Jain, Abhijeet Patil, Ravi Kant Gupta, Tripti Bameta, Swapnil Rane, Amit Sethi
2024 J jnl
Semantic Segmentation Based Quality Control of Histopathology Whole Slide Images.
CoRR
Abhijeet Patil, Garima Jain, Harsh Diwakar, Jay Sawant, Tripti Bameta, Swapnil Rane, Amit Sethi
2023 J jnl
Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification.
CoRR
Amruta Parulekar, Utkarsh Kanwat, Ravi Kant Gupta, Medha Chippa, Thomas Jacob, Tripti Bameta, Swapnil Rane, Amit Sethi
2023 — conf
EGFR Mutation Prediction of Lung Biopsy Images Using Deep Learning.
BIOIMAGING
Ravi Kant Gupta, Shivani Nandgaonkar, Nikhil Cherian Kurian, Tripti Bameta, Subhash Yadav, Rajiv Kumar Kaushal, Swapnil Rane, Amit Sethi
2022 J jnl
Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge".
IEEE Trans. Medical Imaging
Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Amit Sethi
2022 C conf
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation.
BIBE
Nikhil Cherian Kurian, Amit Lehan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grigoriadis, Amit Sethi
2022 J jnl
Deep Multi-Scale U-Net Architecture and Noise-Robust Training Strategies for Histopathological Image Segmentation.
CoRR
Nikhil Cherian Kurian, Amit Lohan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grigoriadis, Amit Sethi
2021 J jnl
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.
IEEE Trans. Medical Imaging
Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi
2021 — conf
Robust Classification of Histology Images Exploiting Adversarial Auto Encoders.
EMBC
Nikhil Cherian Kurian, Gurparkash Singh, Poorvi Hebbar, Shreekanya Kodate, Swapnil Rane, Amit Sethi
2020 J jnl
A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas.
Frontiers Comput. Neurosci.
Ujjwal Baid, Sanjay N. Talbar, Swapnil Rane, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Nilesh Sable, Mayuresh Akolkar, Abhishek Mahajan
2020 J jnl
Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning.
Frontiers Comput. Neurosci.
Ujjwal Baid, Swapnil Rane, Sanjay N. Talbar, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Abhishek Mahajan
2018 — conf
Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model: A Novel Approach Using 3D UNET Based Deep Convolutional Neural Network for Predicting Survival in Gliomas.
BrainLes@MICCAI (2)
Ujjwal Baid, Sanjay N. Talbar, Swapnil Rane, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Siddhesh P. Thakur, Abhishek Mahajan