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ORCIDRachana Sathish
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2020 – today
- 2024
[c11]Krishan Agyakari Raja Babu
, Rachana Sathish, Mrunal Pattanaik, Rahul Venkataramani:
Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation. DEMI@MICCAI 2024: 64-72- [i11]Krishan Agyakari Raja Babu, Rachana Sathish, Mrunal Pattanaik, Rahul Venkataramani:
Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation. CoRR abs/2407.21674 (2024) - 2023
- [j3]Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy:
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. Medical Image Anal. 86: 102803 (2023) - [j2]Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy:
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. Medical Image Anal. 89: 102888 (2023) - [c10]Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar:
Task-Driven Prompt Evolution for Foundation Models. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 256-264 - [i10]Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy:
CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection. CoRR abs/2302.06294 (2023) - [i9]Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar:
Task-driven Prompt Evolution for Foundation Models. CoRR abs/2310.17128 (2023) - 2022
- [c9]Sista Raviteja, Rachana Sathish, Riya Agrawal, Utpal De, Partha Pratim Chakrabarti, Debdoot Sheet:
I'm GROOT: a multi head multi GRaph netwOrk recognizing surgical actiOn Triplets✱. ICVGIP 2022: 18:1-18:9 - [i8]Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy:
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. CoRR abs/2204.04746 (2022) - 2021
- [j1]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 69: 101950 (2021) - [c8]Mahalakshumi Visvanathan, Velmurugan Balasubramanian, Rachana Sathish, Suhasini Balasubramaniam, Debdoot Sheet:
Assessing Lobe-wise Burden of COVID-19 Infection in Computed Tomography of Lungs using Knowledge Fusion from Multiple Datasets. EMBC 2021: 3961-3964 - 2020
- [c7]Rakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, Debdoot Sheet:
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss. EMBC 2020: 1331-1334 - [c6]Velmurugan Balasubramanian, Rajiv Kumar, Sarasa Jyothsna Kamireddi, Rachana Sathish, Debdoot Sheet:
Semantic Segmentation, Detection AND Localisation of Mucosal Lesions from Gastrointestinal Endoscopic Images Using SUMNET. EndoCV@ISBI 2020: 82-83 - [d2]Velmurugan Balasubramanian, Suhasini Balasubramaniam, Debdoot Sheet, Rachana Sathish, Mahalakshumi Visvanathan:
Pulmonary lobe segmentation of COVID-19 CT scans. IEEE DataPort, 2020
- [d1]Debdoot Sheet, Arunava Chakravarty, Tandra Sarkar, Rakshith Sathish, Aditya Raj, Velmurugan Balasubramanian, Ronnie Rajan, Rachana Sathish, Nishant Chakravorty, Manjira Sinha, Manoj Sharma, Vikas Kumar, Rajiv Kumar, Abhishek Kumar, Atul Singhal, Gowtham Reddy:
Covid19action-radiology-CXR. IEEE DataPort, 2020 - [i7]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Sinem Aslan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR abs/2001.06535 (2020) - [i6]Abhilash Nandy, Rachana Sathish, Debdoot Sheet:
Identification of Cervical Pathology using Adversarial Neural Networks. CoRR abs/2004.13406 (2020) - [i5]Rakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, Debdoot Sheet:
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss. CoRR abs/2006.09308 (2020)
2010 – 2019
- 2019
- [c5]Rachana Sathish, Debdoot Sheet:
Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network. CVPR Workshops 2019: 24-27 - [c4]Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Sheet:
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging. EMBC 2019: 1010-1013 - [c3]Oindrila Saha, Rachana Sathish, Debdoot Sheet:
Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images. MIDL 2019: 414-426 - [p1]Kaustuv Mishra, Rachana Sathish, Debdoot Sheet:
Phase Identification and Workflow Modeling in Laparoscopy Surgeries Using Temporal Connectionism of Deep Visual Residual Abstractions. Handbook of Deep Learning Applications 2019: 201-217 - [i4]Oindrila Saha, Rachana Sathish, Debdoot Sheet:
Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy. CoRR abs/1902.03122 (2019) - [i3]Shanka Subhra Mondal, Rachana Sathish, Debdoot Sheet:
Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos. CoRR abs/1905.08315 (2019) - [i2]Rachana Sathish, Debdoot Sheet:
Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network. CoRR abs/1906.03986 (2019) - [i1]Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Sheet:
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging. CoRR abs/1908.01176 (2019) - 2017
- [c2]Kaustuv Mishra, Rachana Sathish, Debdoot Sheet:
Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures. CVPR Workshops 2017: 2233-2240 - 2016
- [c1]Kaustuv Mishra, Rachana Sathish, Debdoot Sheet:
Tracking of Retinal Microsurgery Tools Using Late Fusion of Responses from Convolutional Neural Network over Pyramidally Decomposed Frames. ICVGIP Workshops 2016: 358-366
Coauthor Index
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last updated on 2024-11-15 19:32 CET by the dblp team
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