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Debdoot Sheet
2020 – today
- 2024
- [j17]Vikas Kumar, Manoj Kumar Sharma, Ramalingam Jehadeesan, Balasubramaniam Venkatraman, Debdoot Sheet:
Simulating cross-modal medical images using multi-task adversarial learning of a deep convolutional neural network. Int. J. Imaging Syst. Technol. 34(4) (2024) - [c57]Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet:
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models. ClinicalNLP@NAACL 2024: 283-291 - [c56]Dipayan Dewan, Asim Manna, Apoorva Srivastava, Anupam Borthakur, Debdoot Sheet:
MeDiANet: A Lightweight Network for Large-scale Multi-disease Classification of Multi-modal Medical Images Using Dilated Convolution and Attention Network. ICPR (25) 2024: 170-184 - [c55]Asim Manna, Debdoot Sheet:
Learning Neural Networks for Multi-label Medical Image Retrieval Using Hamming Distance Fabricated with Jaccard Similarity Coefficient. ICPR (12) 2024: 251-266 - [c54]Maddimsetti Srinivas, Debdoot Sheet:
Constant Time Decision Trees and Random Forest. ICPR (5) 2024: 456-470 - [c53]Avnish Srivastava, Sista Raviteja, Partha Pratim Chakrabarti, Debdoot Sheet:
Exploring the Limits of VLMs: A Dataset for Evaluating Text-to-Video Generation✱. ICVGIP 2024: 48:1-48:9 - [i31]Maddimsetti Srinivas, Debdoot Sheet:
Knowledge Distillation of Convolutional Neural Networks through Feature Map Transformation using Decision Trees. CoRR abs/2403.06089 (2024) - [i30]Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet:
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models. CoRR abs/2404.17912 (2024) - 2023
- [j16]Aditya Raj, Rakshith Sathish, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet:
Designing Deep Neural High-Density Compression Engines for Radiology Images. Circuits Syst. Signal Process. 42(2): 643-682 (2023) - [j15]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) - [j14]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) - [j13]Manoj Kumar Sharma, Vikas Kumar, Debdoot Sheet, Prabir Kumar Biswas:
Frame-level global context modeling for detection and localization of abnormality. Multim. Tools Appl. 82(25): 38345-38370 (2023) - [c52]Anupam Borthakur, Apoorva Srivastava, Aditya Kasliwal, Debdoot Sheet:
Fed2Tier: A Two-Tier Federated Learning System Towards Green Computation. AIMLSystems 2023: 51:1-51:3 - [c51]Ravi Kakaiya, Rakshith Sathish, Debdoot Sheet, Ramanathan Sethuraman:
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation. ICME Workshops 2023: 482-485 - [c50]Dipayan Dewan, Anupam Borthakur, Debdoot Sheet:
Attention in a Little Network is All You Need to Go Green. ISBI 2023: 1-4 - [i29]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) - [i28]Ravi Kakaiya, Rakshith Sathish, Ramanathan Sethuraman, Debdoot Sheet:
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation. CoRR abs/2307.01524 (2023) - 2022
- [c49]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 - [c48]Abhishek Kumar, Debdoot Sheet:
Design of a System and Method for Optimal selection of Tumor Slice using Linear Ultrasound Imaging for Histopathology. ICVGIP 2022: 26:1-26:8 - [c47]Rakshith Sathish, Swanand R. Khare, Debdoot Sheet:
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks. DeCaF/FAIR@MICCAI 2022: 178-189 - [e2]Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett A. Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu:
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings. Lecture Notes in Computer Science 13573, Springer 2022, ISBN 978-3-031-18522-9 [contents] - [d3]Arunava Chakravarty, Tandra Sarkar, Rakshith Sathish, Ramanathan Sethuraman, Debdoot Sheet:
Re-curated Breast Imaging Subset DDSM Dataset (RBIS-DDSM). IEEE DataPort, 2022 - [i27]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) - [i26]Rakshith Sathish, Swanand R. Khare, Debdoot Sheet:
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks. CoRR abs/2209.15287 (2022) - 2021
- [j12]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) - [j11]Manoj Kumar Sharma, Debdoot Sheet, Prabir Kumar Biswas:
Local instance and context dictionary-based detection and localization of abnormalities. Mach. Vis. Appl. 32(3): 69 (2021) - [c46]Vikas Kumar, Manoj Kumar Sharma, Ramalingam Jehadeesan, Balasubramaniam Venkatraman, Garima Suman, Anurima Patra, Ajit H. Goenka, Debdoot Sheet:
Learning to Generate Missing Pulse Sequence in MRI using Deep Convolution Neural Network Trained with Visual Turing Test. EMBC 2021: 3419-3422 - [c45]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 - [c44]Arunava Chakravarty, Avik Kar, Ramanathan Sethuraman, Debdoot Sheet:
Federated Learning for Site Aware Chest Radiograph Screening. ISBI 2021: 1077-1081 - [c43]Harsh Maheshwari, Vidit Goel, Ramanathan Sethuraman, Debdoot Sheet:
Distill DSM: Computationally efficient method for segmentation of medical imaging volumes. MIDL 2021: 473-483 - [e1]Shadi Albarqouni, Manuel Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios A. Tsaftaris, Daguang Xu, Ziyue Xu:
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Lecture Notes in Computer Science 12968, Springer 2021, ISBN 978-3-030-87721-7 [contents] - 2020
- [j10]Kausik Das, Sailesh Conjeti, Jyotirmoy Chatterjee, Debdoot Sheet:
Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN. IEEE Access 8: 213502-213511 (2020) - [j9]Manoj Kumar Sharma, Debdoot Sheet, Prabir Kumar Biswas:
Spatiotemporal deep networks for detecting abnormality in videos. Multim. Tools Appl. 79(15-16): 11237-11268 (2020) - [j8]Heechul Bae, Eoin Brophy, Rosa H. M. Chan, Baoquan Chen, Fan Feng, Gabriele Graffieti, Vidit Goel, Xinyue Hao, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Chuanlin Lan, Qi Liu, Vincenzo Lomonaco, Liang Ma, Davide Maltoni, German Ignacio Parisi, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Qi She, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qihan Yang, Qiaoyong Zhong, Liguang Zhou:
IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]. IEEE Robotics Autom. Mag. 27(2): 11-16 (2020) - [c42]Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet:
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. EMBC 2020: 1128-1131 - [c41]Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet:
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs. EMBC 2020: 1225-1228 - [c40]Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet:
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. EMBC 2020: 1234-1237 - [c39]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 - [c38]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 - [c37]Anand Mooga, Ramanathan Sethuraman, Debdoot Sheet:
Zero-Shot Adaptation to Simulate 3D Ultrasound Volume by Learning a Multilinear Separable 2D Convolutional Neural Network. ISBI 2020: 1780-1783 - [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 - [i25]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) - [i24]Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet:
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs. CoRR abs/2004.11693 (2020) - [i23]Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet:
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. CoRR abs/2004.11721 (2020) - [i22]Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet:
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. CoRR abs/2004.11726 (2020) - [i21]Abhilash Nandy, Rachana Sathish, Debdoot Sheet:
Identification of Cervical Pathology using Adversarial Neural Networks. CoRR abs/2004.13406 (2020) - [i20]Qi She, Fan Feng, Qi Liu, Rosa H. M. Chan, Xinyue Hao, Chuanlin Lan, Qihan Yang, Vincenzo Lomonaco, German Ignacio Parisi, Heechul Bae, Eoin Brophy, Baoquan Chen, Gabriele Graffieti, Vidit Goel, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Liang Ma, Davide Maltoni, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qiaoyong Zhong, Liguang Zhou:
IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. CoRR abs/2004.14774 (2020) - [i19]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
- [j7]Debarghya China, Alfredo Illanes, Prabal Poudel, Michael Friebe, Pabitra Mitra, Debdoot Sheet:
Anatomical Structure Segmentation in Ultrasound Volumes Using Cross Frame Belief Propagating Iterative Random Walks. IEEE J. Biomed. Health Informatics 23(3): 1110-1118 (2019) - [c36]Rachana Sathish, Debdoot Sheet:
Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network. CVPR Workshops 2019: 24-27 - [c35]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 - [c34]Debarghya China, Francis Tom, Sumanth Nandamuri, Aupendu Kar, Mukundhan Srinivasan, Pabitra Mitra, Debdoot Sheet:
Ultracompression: Framework For High Density Compression Of Ultrasound Volumes Using Physics Modeling Deep Neural Networks. ISBI 2019: 798-801 - [c33]Francis Tom, Himanshu Sharma, Dheeraj Mundhra, Tathagato Rai Dastidar, Debdoot Sheet:
Learning A Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution. ISBI 2019: 1391-1394 - [c32]Sumanth Nandamuri, Debarghya China, Pabitra Mitra, Debdoot Sheet:
SUMNet: Fully Convolutional Model For Fast Segmentation of Anatomical Structures in Ultrasound Volumes. ISBI 2019: 1729-1732 - [c31]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 - [i18]Debarghya China, Francis Tom, Sumanth Nandamuri, Aupendu Kar, Mukundhan Srinivasan, Pabitra Mitra, Debdoot Sheet:
UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks. CoRR abs/1901.05880 (2019) - [i17]Francis Tom, Himanshu Sharma, Dheeraj Mundhra, Tathagato Rai Dastidar, Debdoot Sheet:
Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution. CoRR abs/1901.06405 (2019) - [i16]Sumanth Nandamuri, Debarghya China, Pabitra Mitra, Debdoot Sheet:
SUMNet: Fully Convolutional Model for Fast Segmentation of Anatomical Structures in Ultrasound Volumes. CoRR abs/1901.06920 (2019) - [i15]Debarghya China, Pabitra Mitra, Debdoot Sheet:
Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks. CoRR abs/1901.06926 (2019) - [i14]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) - [i13]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) - [i12]Rachana Sathish, Debdoot Sheet:
Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network. CoRR abs/1906.03986 (2019) - [i11]Saket Singh, Debdoot Sheet, Mithun Dasgupta:
Adversarially Trained Deep Neural Semantic Hashing Scheme for Subjective Search in Fashion Inventory. CoRR abs/1907.00382 (2019) - [i10]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) - 2018
- [c30]Manoj Kumar Sharma, Debdoot Sheet, Prabir Kumar Biswas:
Image Embedding for Detecting Irregularity. CVIP (2) 2018: 243-255 - [c29]Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet:
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms. CVPR Workshops 2018: 2591-2594 - [c28]Aupendu Kar, Sutanu Bera, Sri Phani Krishna Karri, Sudipta Ghosh, Manjunatha Mahadevappa, Debdoot Sheet:
A Deep Convolutional Neural Network Based Classification Of Multi-Class Motor Imagery With Improved Generalization. EMBC 2018: 5085-5088 - [c27]Ekagra Ranjan, Soumava Paul, Siddharth Kapoor, Aupendu Kar, Ramanathan Sethuraman, Debdoot Sheet:
Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain. ICVGIP 2018: 55:1-55:8 - [c26]Kausik Das, Sailesh Conjeti, Abhijit Guha Roy, Jyotirmoy Chatterjee, Debdoot Sheet:
Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classification. ISBI 2018: 578-581 - [c25]Francis Tom, Debdoot Sheet:
Simulating patho-realistic ultrasound images using deep generative networks with adversarial learning. ISBI 2018: 1174-1177 - [i9]Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet:
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms. CoRR abs/1805.06909 (2018) - 2017
- [c24]Priyadarshini Adyasha Pattanaik, Tripti Swarnkar, Debdoot Sheet:
Object detection technique for malaria parasite in thin blood smear images. BIBM 2017: 2120-2123 - [c23]Hrushikesh Garud, Sri Phani Krishna Karri, Debdoot Sheet, Jyotirmoy Chatterjee, Manjunatha Mahadevappa, Ajoy Kumar Ray, Arindam Ghosh, Ashok K. Maity:
High-Magnification Multi-views Based Classification of Breast Fine Needle Aspiration Cytology Cell Samples Using Fusion of Decisions from Deep Convolutional Networks. CVPR Workshops 2017: 828-833 - [c22]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 - [c21]Arna Ghosh, Satyarth Singh, Debdoot Sheet:
Simultaneous localization and classification of acute lymphoblastic leukemic cells in peripheral blood smears using a deep convolutional network with average pooling layer. ICIIS 2017: 1-6 - [c20]Kausik Das, Sri Phani Krishna Karri, Abhijit Guha Roy, Jyotirmoy Chatterjee, Debdoot Sheet:
Classifying histopathology whole-slides using fusion of decisions from deep convolutional network on a collection of random multi-views at multi-magnification. ISBI 2017: 1024-1027 - [c19]Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger:
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. MICCAI (3) 2017: 231-239 - [i8]Pranav Kumar, S. L. Happy, Swarnadip Chatterjee, Debdoot Sheet, Aurobinda Routray:
An Unsupervised Approach for Overlapping Cervical Cell Cytoplasm Segmentation. CoRR abs/1702.05506 (2017) - [i7]Abhijit Guha Roy, Sailesh Conjeti, Sri Phani Krishna Karri, Debdoot Sheet, Amin Katouzian, Christian Wachinger, Nassir Navab:
ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network. CoRR abs/1704.02161 (2017) - [i6]Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger:
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. CoRR abs/1705.00938 (2017) - [i5]Francis Tom, Debdoot Sheet:
Simulating Patho-realistic Ultrasound Images using Deep Generative Networks with Adversarial Learning. CoRR abs/1712.07881 (2017) - 2016
- [j6]Sailesh Conjeti, Amin Katouzian, Abhijit Guha Roy, Loïc Peter, Debdoot Sheet, Stéphane G. Carlier, Andrew Laine, Nassir Navab:
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization. Medical Image Anal. 32: 1-17 (2016) - [j5]Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Pranab Kumar Dutta, Adnan Kastrati, Andrew F. Laine, Nassir Navab, Amin Katouzian, Debdoot Sheet:
Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks. IEEE J. Biomed. Health Informatics 20(2): 606-614 (2016) - [c18]Avisek Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas:
Deep neural ensemble for retinal vessel segmentation in fundus images towards achieving label-free angiography. EMBC 2016: 1340-1343 - [c17]Praveen Kumar Kanithi, Jyotirmoy Chatterjee, Debdoot Sheet:
Immersive augmented reality system for assisting needle positioning during ultrasound guided intervention. ICVGIP 2016: 65:1-65:8 - [c16]Manoj Kumar Sharma, Sayan Sarcar, Debdoot Sheet, Prabir Kumar Biswas:
Limitations with measuring performance of techniques for abnormality localization in surveillance video and how to overcome them? ICVGIP 2016: 75:1-75:8 - [c15]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 - [c14]Hrushikesh Garud, Sri Phani Krishna Karri, Debdoot Sheet, Ashok Kumar Maity, Jyotirmoy Chatterjee, Manjunatha Mahadevappa, Ajoy Kumar Ray:
Methods and System for Segmentation of Isolated Nuclei in Microscopic Breast Fine Needle Aspiration Cytology Images. ICVGIP Workshops 2016: 380-392 - [c13]Debarghya China, Pabitra Mitra, Debdoot Sheet:
Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images Using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks. ICVGIP Workshops 2016: 393-403 - [c12]Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Khalil Houissa, Andreas König, Pranab K. Dutta, Andrew F. Laine, Nassir Navab, Amin Katouzian, Debdoot Sheet:
Multiscale distribution preserving autoencoders for plaque detection in intravascular optical coherence tomography. ISBI 2016: 1359-1362 - [i4]Debapriya Maji, Anirban Santara, Pabitra Mitra, Debdoot Sheet:
Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images. CoRR abs/1603.04833 (2016) - [i3]Abhijit Guha Roy, Debdoot Sheet:
DASA: Domain Adaptation in Stacked Autoencoders using Systematic Dropout. CoRR abs/1603.06060 (2016) - [i2]Avisek Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas:
Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Label-free Angiography. CoRR abs/1609.05871 (2016) - 2015
- [c11]Abhijit Guha Roy, Debdoot Sheet:
DASA: Domain adaptation in stacked autoencoders using systematic dropout. ACPR 2015: 735-739 - [c10]Debapriya Maji, Anirban Santara, Sambuddha Ghosh, Debdoot Sheet, Pabitra Mitra:
Deep neural network and random forest hybrid architecture for learning to detect retinal vessels in fundus images. EMBC 2015: 3029-3032 - [c9]Kausik Basak, Goutam Dey, Debdoot Sheet, Manjunatha Mahadevappa, Mahitosh Mandal, Pranab Kumar Dutta:
Probabilistic graphical modeling of speckle statistics in laser speckle contrast imaging for noninvasive and label-free retinal angiography. EMBC 2015: 6244-6247 - [c8]Sailesh Conjeti, Mehmet Yigitsoy, Tingying Peng, Debdoot Sheet, Jyotirmoy Chatterjee, Christine Bayer, Nassir Navab, Amin Katouzian:
Deformable registration of immunofluorescence and histology using iterative cross-modal propagation. ISBI 2015: 310-313 - [c7]Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Andreas König, Adnan Kastrati, Pranab Kumar Dutta, Andrew F. Laine, Nassir Navab, Debdoot Sheet, Amin Katouzian:
Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment. ISBI 2015: 428-431 - [c6]Sailesh Conjeti, Mehmet Yigitsoy, Debdoot Sheet, Jyotirmoy Chatterjee, Nassir Navab, Amin Katouzian:
Mutually coherent structural representation for image registration through joint manifold embedding and alignment. ISBI 2015: 601-604 - [c5]Debdoot Sheet, Sri Phani Krishna Karri, Amin Katouzian, Nassir Navab, Ajoy Kumar Ray, Jyotirmoy Chatterjee:
Deep learning of tissue specific speckle representations in optical coherence tomography and deeper exploration for in situ histology. ISBI 2015: 777-780 - [i1]S. L. Happy, Swarnadip Chatterjee, Debdoot Sheet:
Unsupervised Segmentation of Overlapping Cervical Cell Cytoplasm. CoRR abs/1505.05601 (2015) - 2014
- [j4]Debdoot Sheet, Athanasios Karamalis, Abouzar Eslami, Peter B. Noël, Renu Virmani, Masataka Nakano, Jyotirmoy Chatterjee, Ajoy Kumar Ray, Andrew F. Laine, Stephane G. Carlier, Nassir Navab, Amin Katouzian:
Hunting for necrosis in the shadows of intravascular ultrasound. Comput. Medical Imaging Graph. 38(2): 104-112 (2014) - [j3]Debdoot Sheet, Athanasios Karamalis, Abouzar Eslami, Peter B. Noël, Jyotirmoy Chatterjee, Ajoy Kumar Ray, Andrew F. Laine, Stephane G. Carlier, Nassir Navab, Amin Katouzian:
Joint learning of ultrasonic backscattering statistical physics and signal confidence primal for characterizing atherosclerotic plaques using intravascular ultrasound. Medical Image Anal. 18(1): 103-117 (2014) - [c4]Sri Phani Krishna Karri, Hrushikesh Garud, Debdoot Sheet, Jyotirmoy Chatterjee, Debjani Chakraborty, Ajoy Kumar Ray, Manjunatha Mahadevappa:
Learning scale-space representation of nucleus for accurate localization and segmentation of epithelial squamous nuclei in cervical smears. BHI 2014: 772-775 - [c3]Debdoot Sheet, Satarupa Banerjee, Sri Phani Krishna Karri, Swarnendu Bag, Anji Anura, Amita Giri, Ranjan Rashmi Paul, Mousumi Pal, Badal C. Sarkar, Ranjan Ghosh, Amin Katouzian, Nassir Navab, Ajoy Kumar Ray:
Transfer learning of tissue photon interaction in optical coherence tomography towardsin vivo histology of the oral mucosa. ISBI 2014: 1389-1392 - 2013
- [c2]Debdoot Sheet, Sri Phani Krishna Karri, Sailesh Conjeti, Sambuddha Ghosh, Jyotirmoy Chatterjee, Ajoy Kumar Ray:
Detection of retinal vessels in fundus images through transfer learning of tissue specific photon interaction statistical physics. ISBI 2013 - 2012
- [j2]Amin Katouzian, Athanasios Karamalis, Debdoot Sheet, Elisa E. Konofagou, Babak Baseri, Stephane G. Carlier, Abouzar Eslami, Andreas König, Nassir Navab, Andrew F. Laine:
Iterative Self-Organizing Atherosclerotic Tissue Labeling in Intravascular Ultrasound Images and Comparison With Virtual Histology. IEEE Trans. Biomed. Eng. 59(11-1): 3039-3049 (2012) - 2010
- [j1]Debdoot Sheet, Hrushikesh Garud, Amit Suveer, Manjunatha Mahadevappa, Jyotirmoy Chatterjee:
Brightness preserving dynamic fuzzy histogram equalization. IEEE Trans. Consumer Electron. 56(4): 2475-2480 (2010) - [c1]Debdoot Sheet, Vikram Venkatraghavan, Amit Suveer, Hrushikesh Garud, Jyotirmoy Chatterjee, Manjunatha Mahadevappa, Ajoy Kumar Ray:
Statistical tools for evaluating classification efficacy of feature extraction techniques. ICDIP 2010: 75461B
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