CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation von Kavur, A. Emre, Gezer, N. Sinem, Barış, Mustafa, Aslan, Sinem, Conze, Pierre-Henri, Groza, Vladimir, Pham, Duc Duy, Chatterjee, Soumick, Ernst, Philipp, Özkan, Savaş, Baydar, Bora, Lachinov, Dmitry, Han, Shuo, Pauli, Josef, Isensee, Fabian, Perkonigg, Matthias, Sathish, Rachana, Rajan, Ronnie, Sheet, Debdoot, Dovletov, Gurbandurdy, Speck, Oliver, Nürnberger, Andreas, Maier-Hein, Klaus H., Bozdağı Akar, Gözde, Ünal, Gözde, Dicle, Oğuz, Selver, M. Alper

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A wrapper method for finding optimal subset of multimodal Magnetic Resonance Imaging sequences for ischemic stroke lesion segmentation von Sathish, Rachana, Sheet, Debdoot

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IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge von Porwal, Prasanna, Pachade, Samiksha, Kokare, Manesh, Deshmukh, Girish, Son, Jaemin, Bae, Woong, Liu, Lihong, Wang, Jianzong, Liu, Xinhui, Gao, Liangxin, Wu, TianBo, Xiao, Jing, Wang, Fengyan, Yin, Baocai, Wang, Yunzhi, Danala, Gopichandh, He, Linsheng, Choi, Yoon Ho, Lee, Yeong Chan, Jung, Sang-Hyuk, Li, Zhongyu, Sui, Xiaodan, Wu, Junyan, Li, Xiaolong, Zhou, Ting, Toth, Janos, Baran, Agnes, Kori, Avinash, Chennamsetty, Sai Saketh, Safwan, Mohammed, Alex, Varghese, Lyu, Xingzheng, Cheng, Li, Chu, Qinhao, Li, Pengcheng, Ji, Xin, Zhang, Sanyuan, Shen, Yaxin, Dai, Ling, Saha, Oindrila, Sathish, Rachana, Melo, Tânia, Araújo, Teresa, Harangi, Balazs, Sheng, Bin, Fang, Ruogu, Sheet, Debdoot, Hajdu, Andras, Zheng, Yuanjie, Mendonça, Ana Maria, Zhang, Shaoting, Campilho, Aurélio, Zheng, Bin, Shen, Dinggang, Giancardo, Luca, Quellec, Gwenolé, Mériaudeau, Fabrice

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CholecTriplet2021: A benchmark challenge for surgical action triplet recognition von Nwoye, Chinedu Innocent, Alapatt, Deepak, Yu, Tong, Vardazaryan, Armine, Xia, Fangfang, Zhao, Zixuan, Xia, Tong, Jia, Fucang, Yang, Yuxuan, Wang, Hao, Yu, Derong, Zheng, Guoyan, Duan, Xiaotian, Getty, Neil, Sanchez-Matilla, Ricardo, Robu, Maria, Zhang, Li, Chen, Huabin, Wang, Jiacheng, Wang, Liansheng, Zhang, Bokai, Gerats, Beerend, Raviteja, Sista, Sathish, Rachana, Tao, Rong, Kondo, Satoshi, Pang, Winnie, Ren, Hongliang, Abbing, Julian Ronald, Sarhan, Mohammad Hasan, Bodenstedt, Sebastian, Bhasker, Nithya, Oliveira, Bruno, Torres, Helena R., Ling, Li, Gaida, Finn, Czempiel, Tobias, Vilaça, João L., Morais, Pedro, Fonseca, Jaime, Egging, Ruby Mae, Wijma, Inge Nicole, Qian, Chen, Bian, Guibin, Li, Zhen, Balasubramanian, Velmurugan, Sheet, Debdoot, Luengo, Imanol, Zhu, Yuanbo, Ding, Shuai, Aschenbrenner, Jakob-Anton, van der Kar, Nicolas Elini, Xu, Mengya, Islam, Mobarakol, Seenivasan, Lalithkumar, Jenke, Alexander, Stoyanov, Danail, Mutter, Didier, Mascagni, Pietro, Seeliger, Barbara, Gonzalez, Cristians, Padoy, Nicolas

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Tracking of Retinal Microsurgery Tools Using Late Fusion of Responses from Convolutional Neural Network over Pyramidally Decomposed Frames von Mishra, Kaustuv, Sathish, Rachana, Sheet, Debdoot

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CholecTriplet2022: Show me a tool and tell me the triplet — An endoscopic vision challenge for surgical action triplet detection von Nwoye, Chinedu Innocent, Yu, Tong, Sharma, Saurav, Murali, Aditya, Alapatt, Deepak, Vardazaryan, Armine, Yuan, Kun, Hajek, Jonas, Reiter, Wolfgang, Yamlahi, Amine, Smidt, Finn-Henri, Zou, Xiaoyang, Zheng, Guoyan, Oliveira, Bruno, Torres, Helena R., Kondo, Satoshi, Kasai, Satoshi, Holm, Felix, Özsoy, Ege, Gui, Shuangchun, Li, Han, Raviteja, Sista, Sathish, Rachana, Poudel, Pranav, Bhattarai, Binod, Wang, Ziheng, Rui, Guo, Schellenberg, Melanie, Vilaça, João L., Czempiel, Tobias, Wang, Zhenkun, Sheet, Debdoot, Thapa, Shrawan Kumar, Berniker, Max, Godau, Patrick, Morais, Pedro, Regmi, Sudarshan, Tran, Thuy Nuong, Fonseca, Jaime, Nölke, Jan-Hinrich, Lima, Estevão, Vazquez, Eduard, Maier-Hein, Lena, Navab, Nassir, Mascagni, Pietro, Seeliger, Barbara, Gonzalez, Cristians, Mutter, Didier, Padoy, Nicolas

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Deep Neural Architecture for Localization and Tracking of Surgical Tools in Cataract Surgery von Banerjee, Neha, Sathish, Rachana, Sheet, Debdoot

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Phase Identification and Workflow Modeling in Laparoscopy Surgeries Using Temporal Connectionism of Deep Visual Residual Abstractions von Mishra, Kaustuv, Sathish, Rachana, Sheet, Debdoot

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Task-Driven Prompt Evolution for Foundation Models von Sathish, Rachana, Venkataramani, Rahul, Shriram, K. S., Sudhakar, Prasad

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Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network von Sathish, Rachana, Sheet, Debdoot

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Task-driven Prompt Evolution for Foundation Models von Sathish, Rachana, Venkataramani, Rahul, Shriram, K S, Sudhakar, Prasad

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Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation von Krishan Agyakari Raja Babu, Sathish, Rachana, Pattanaik, Mrunal, Venkataramani, Rahul

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Identification of Cervical Pathology using Adversarial Neural Networks von Nandy, Abhilash, Sathish, Rachana, Sheet, Debdoot

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Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss von Sathish, Rakshith, Sathish, Rachana, Sethuraman, Ramanathan, Sheet, Debdoot

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Significance of Residual Learning and Boundary Weighted Loss in Ischaemic Stroke Lesion Segmentation von Rajan, Ronnie, Sathish, Rachana, Sheet, Debdoot

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Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos von Mondal, Shanka Subhra, Sathish, Rachana, Sheet, Debdoot

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Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation von Raja Babu, Krishan Agyakari, Sathish, Rachana, Pattanaik, Mrunal, Venkataramani, Rahul

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Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy von Saha, Oindrila, Sathish, Rachana, Sheet, Debdoot

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Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network von Sathish, Rachana, Sheet, Debdoot

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Task-driven Prompt Evolution for Foundation Models von Sathish, Rachana, Venkataramani, Rahul, Shriram, K S, Prasad Sudhakar

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