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ORCIDAbhijeet Patil
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2020 – today
- 2024
[j4]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:
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. 97: 103257 (2024)- [i8]Ardhendu Sekhar, Vrinda Goel, Garima Jain, Abhijeet Patil, Ravi Kant Gupta, Amit Sethi:
HER2 and FISH Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning. CoRR abs/2408.13818 (2024) - [i7]Abhijeet Patil, Harsh Diwakar, Jay Sawant, Nikhil Cherian Kurian, Subhash Yadav, Swapnil Rane, Tripti Bameta, Amit Sethi:
Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training. CoRR abs/2409.19587 (2024) - 2023
- [i6]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:
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue. CoRR abs/2305.18033 (2023) - 2022
- [j3]Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Amit Sethi:
Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge". IEEE Trans. Medical Imaging 41(4): 1000-1003 (2022) - 2021
- [j2]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:
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40(12): 3413-3423 (2021) - [c5]Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi:
Fast, Self Supervised, Fully Convolutional Color Normalization Of H&E Stained Images. ISBI 2021: 1563-1567 - [c4]Nikhil Cherian Kurian, Pragati Shuddhodhan Meshram, Abhijeet Patil, Sunil Patel, Amit Sethi:
Sample Specific Generalized Cross Entropy for Robust Histology Image Classification. ISBI 2021: 1934-1938 - 2020
- [c3]Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi:
Visualization for Histopathology Images using Graph Convolutional Neural Networks. BIBE 2020: 331-335 - [i5]Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi:
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning. CoRR abs/2003.00823 (2020) - [i4]Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee, Amit Sethi, Raju Dhandapani, Sudhir Kumar, Rabi Narayan Sahoo, Viswanathan Chinnusamy, J. Adinarayana:
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes. CoRR abs/2004.02498 (2020) - [i3]Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi:
Visualization for Histopathology Images using Graph Convolutional Neural Networks. CoRR abs/2006.09464 (2020) - [i2]Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi:
Fast, Self Supervised, Fully Convolutional Color Normalization of H&E Stained Images. CoRR abs/2011.15000 (2020)
2010 – 2019
- 2016
- [c2]Suman Kalyan Maity, Anshit E. Chaudhary, Shraman Kumar, Animesh Mukherjee, Chaitanya Sarda, Abhijeet Patil, Akash Mondal:
WASSUP? LOL : Characterizing Out-of-Vocabulary Words in Twitter. CSCW Companion 2016: 341-344 - [c1]Sandipan Sikdar, Anshit E. Chaudhary, Shraman Kumar, Niloy Ganguly, Abhijnan Chakraborty, Gaurav Kumar, Abhijeet Patil, Animesh Mukherjee:
Identifying and Characterizing Sleeping Beauties on YouTube. CSCW Companion 2016: 405-408 - [i1]Suman Kalyan Maity, Chaitanya Sarda, Anshit E. Chaudhary, Abhijeet Patil, Shraman Kumar, Akash Mondal, Animesh Mukherjee:
WASSUP? LOL : Characterizing Out-of-Vocabulary Words in Twitter. CoRR abs/1602.00293 (2016) - 2013
- [j1]Rameshwar Prajapati, Udghosh Singh, Abhijeet Patil, Kailas S. Khomane, Pravin Bagul, Arvind K. Bansal, Abhay T. Sangamwar:
In silico model for P-glycoprotein substrate prediction: insights from molecular dynamics and in vitro studies. J. Comput. Aided Mol. Des. 27(4): 347-363 (2013)
Coauthor Index
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