Rachana Sathish

29 papers Journal 15Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
A wrapper method for finding optimal subset of multimodal Magnetic Resonance Imaging sequences for ischemic stroke lesion segmentation.
Comput. Biol. Medicine
Rachana Sathish, Debdoot Sheet
2025 — conf
Robust Input Feature Attribution Maps for Deep Neural Networks.
iMIMIC@MICCAI
Rachana Sathish, Rahul Venkataramani
2025 — conf
Synthetic Data for Assessing Robustness of Deep Learning Models to Distributional Shifts.
ISBI
Rahul V, Rachana Sathish, Mrunal Pattanaik, Krishan Agyakari Raja Babu
2024 — conf
Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation.
DEMI@MICCAI
Krishan Agyakari Raja Babu, Rachana Sathish, Mrunal Pattanaik, Rahul Venkataramani
2024 J jnl
Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation.
CoRR
Krishan Agyakari Raja Babu, Rachana Sathish, Mrunal Pattanaik, Rahul Venkataramani
2023 J jnl
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.
Medical Image Anal.
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
2023 J jnl
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.
Medical Image Anal.
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
2023 J jnl
CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection.
CoRR
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
2023 — conf
Task-Driven Prompt Evolution for Foundation Models.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar
2023 J jnl
Task-driven Prompt Evolution for Foundation Models.
CoRR
Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar
2022 J jnl
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.
CoRR
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
2022 — conf
I'm GROOT: a multi head multi GRaph netwOrk recognizing surgical actiOn Triplets✱.
ICVGIP
Raviteja Sista, Rachana Sathish, Riya Agrawal, Utpal De, Partha Pratim Chakrabarti, Debdoot Sheet
2021 — conf
Assessing Lobe-wise Burden of COVID-19 Infection in Computed Tomography of Lungs using Knowledge Fusion from Multiple Datasets.
EMBC
Mahalakshumi Visvanathan, Velmurugan Balasubramanian, Rachana Sathish, Suhasini Balasubramaniam, Debdoot Sheet
2021 J jnl
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation.
Medical Image Anal.
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
2020 J jnl
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation.
CoRR
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
2020 J jnl
Identification of Cervical Pathology using Adversarial Neural Networks.
CoRR
Abhilash Nandy, Rachana Sathish, Debdoot Sheet
2020 — conf
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss.
EMBC
Rakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, Debdoot Sheet
2020 J jnl
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss.
CoRR
Rakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, Debdoot Sheet
2020 — conf
Semantic Segmentation, Detection AND Localisation of Mucosal Lesions from Gastrointestinal Endoscopic Images Using SUMNET.
EndoCV@ISBI
Velmurugan Balasubramanian, Rajiv Kumar, Sarasa Jyothsna Kamireddi, Rachana Sathish, Debdoot Sheet
2019 — conf
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging.
EMBC
Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Sheet
2019 J jnl
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging.
CoRR
Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Sheet
2019 J jnl
Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy.
CoRR
Oindrila Saha, Rachana Sathish, Debdoot Sheet
2019 — conf
Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images.
MIDL
Oindrila Saha, Rachana Sathish, Debdoot Sheet
2019 J jnl
Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos.
CoRR
Shanka Subhra Mondal, Rachana Sathish, Debdoot Sheet
2019 — ch.
Phase Identification and Workflow Modeling in Laparoscopy Surgeries Using Temporal Connectionism of Deep Visual Residual Abstractions.
Handbook of Deep Learning Applications
Kaustuv Mishra, Rachana Sathish, Debdoot Sheet
2019 — conf
Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network.
CVPR Workshops
Rachana Sathish, Debdoot Sheet
2019 J jnl
Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network.
CoRR
Rachana Sathish, Debdoot Sheet
2017 — conf
Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures.
CVPR Workshops
Kaustuv Mishra, Rachana Sathish, Debdoot Sheet
2016 — conf
Tracking of Retinal Microsurgery Tools Using Late Fusion of Responses from Convolutional Neural Network over Pyramidally Decomposed Frames.
ICVGIP Workshops
Kaustuv Mishra, Rachana Sathish, Debdoot Sheet