Abhijeet Patil

According to our database, Abhijeet Patil authored at least 17 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue.

Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen

Medical Image Anal., 2024

Evaluation Metric for Quality Control and Generative Models in Histopathology Images.

Pranav Jeevan, Neeraj Nixon, Abhijeet Patil, Amit Sethi

CoRR, 2024

PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images.

Akhila Krishna K, Nikhil Cherian Kurian, Abhijeet Patil, Amruta Parulekar, Amit Sethi

CoRR, 2024

Semantic Segmentation Based Quality Control of Histopathology Whole Slide Images.

Abhijeet Patil, Garima Jain, Harsh Diwakar, Jay Sawant, Tripti Bameta, Swapnil Rane, Amit Sethi

CoRR, 2024

Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training.

Abhijeet Patil, Harsh Diwakar, Jay Sawant, Nikhil Cherian Kurian, Subhash Yadav, Swapnil Rane, Tripti Bameta, Amit Sethi

CoRR, 2024

HER2 and FISH Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning.

Ardhendu Sekhar, Vrinda Goel, Garima Jain, Abhijeet Patil, Ravi Kant Gupta, Amit Sethi

CoRR, 2024

HER2 and Fish Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning.

Ardhendu Sekhar, Vrinda Goel, Garima Jain, Abhijeet Patil, Ravi Kant Gupta, Tripti Bameta, Swapnil Rane, Amit Sethi

Proceedings of the 24th IEEE International Conference on Bioinformatics and Bioengineering, 2024

2022

Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge".

Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Amit Sethi

IEEE Trans. Medical Imaging, 2022

2021

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.

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

IEEE Trans. Medical Imaging, 2021

Fast, Self Supervised, Fully Convolutional Color Normalization Of H&E Stained Images.

Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi

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

Sample Specific Generalized Cross Entropy for Robust Histology Image Classification.

Nikhil Cherian Kurian, Pragati Shuddhodhan Meshram, Abhijeet Patil, Sunil Patel, Amit Sethi

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

2020

Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes.

Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee, Amit Sethi, Raju Dhandapani, Sudhir Kumar, Rabi Narayan Sahoo, Viswanathan Chinnusamy, J. Adinarayana

CoRR, 2020

Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning.

Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi

CoRR, 2020

Visualization for Histopathology Images using Graph Convolutional Neural Networks.

Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2016

Identifying and Characterizing Sleeping Beauties on YouTube.

Sandipan Sikdar, Anshit E. Chaudhary, Shraman Kumar, Niloy Ganguly, Abhijnan Chakraborty, Gaurav Kumar, Abhijeet Patil, Animesh Mukherjee

Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

WASSUP? LOL : Characterizing Out-of-Vocabulary Words in Twitter.

Suman Kalyan Maity, Anshit E. Chaudhary, Shraman Kumar, Animesh Mukherjee, Chaitanya Sarda, Abhijeet Patil, Akash Mondal

Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

2013

In silico model for P-glycoprotein substrate prediction: insights from molecular dynamics and in vitro studies.

Rameshwar Prajapati, Udghosh Singh, Abhijeet Patil, Kailas S. Khomane, Pravin Bagul, Arvind K. Bansal, Abhay T. Sangamwar

J. Comput. Aided Mol. Des., 2013