Debdoot Sheet

Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss

Jun 16, 2020
Rakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, Debdoot Sheet

* Accepted at 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (2020)

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Identification of Cervical Pathology using Adversarial Neural Networks

Apr 28, 2020
Abhilash Nandy, Rachana Sathish, Debdoot Sheet

* 9 pages, 10 images, 5th MedImage Workshop of 11th Indian Conference on Computer Vision, Graphics and Image Processing, Hyderabad, India, 2018

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IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report

Apr 26, 2020
Qi She, Fan Feng, Qi Liu, Rosa H. M. Chan, Xinyue Hao, Chuanlin Lan, Qihan Yang, Vincenzo Lomonaco, German I. 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

* 9 pages, 11 figures, 3 tables, accepted into IEEE Robotics and Automation Magazine. arXiv admin note: text overlap with arXiv:1911.06487

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A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms

Apr 24, 2020
Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet

* accepted in EMBC 2020, 4 pg+1 pg Supplementary

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Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening

Apr 24, 2020
Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet

* accepted in EMBC 2020, 4pg+2pg Supplementary Material

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A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs

Apr 24, 2020
Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet

* accepted in EMBC 2020, 4 pages+2 page Appendix

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CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation

Jan 17, 2020
A. Emre Kavur, N. Sinem Gezer, Mustafa Barış, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savaş Özkan, Bora Baydar, Dmitry 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 Bozdağı Akar, Gözde Ünal, Oğuz Dicle, M. Alper Selver

* 10 pages, 2 figures

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Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging

Aug 03, 2019
Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Sheet

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Adversarially Trained Deep Neural Semantic Hashing Scheme for Subjective Search in Fashion Inventory

Jun 30, 2019
Saket Singh, Debdoot Sheet, Mithun Dasgupta

* The paper comprises of 8 Pages that contain 9 figures and 3 tables to support the work. The paper got accepted in the ACM's 25th KDD conference's workshop titled AI for fashion

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Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network

Jun 10, 2019
Rachana Sathish, Debdoot Sheet

* Workshop on Expalainable AI, CVPR 2019

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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

May 25, 2019
Shanka Subhra Mondal, Rachana Sathish, Debdoot Sheet

* 15 pages, 8 figures, 5th MedImage Workshop of 11th Indian Conference on Computer Vision, Graphics and Image Processing, Hyderabad, India, 2018

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Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy

Feb 07, 2019
Oindrila Saha, Rachana Sathish, Debdoot Sheet

* arXiv admin note: text overlap with arXiv:1511.00561 by other authors

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Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks

Jan 21, 2019
Debarghya China, Pabitra Mitra, Debdoot Sheet

* ICVGIP MedImage 2016

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SUMNet: Fully Convolutional Model for Fast Segmentation of Anatomical Structures in Ultrasound Volumes

Jan 21, 2019
Sumanth Nandamuri, Debarghya China, Pabitra Mitra, Debdoot Sheet

* Accepted in ISBI 2019

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Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution

Jan 18, 2019
Francis Tom, Himanshu Sharma, Dheeraj Mundhra, Tathagato Rai Dastidar, Debdoot Sheet

* To appear in the Proceedings of the 2019 IEEE International Symposium on Biomedical Imaging (ISBI 2019)

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UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks

Jan 17, 2019
Debarghya China, Francis Tom, Sumanth Nandamuri, Aupendu Kar, Mukundhan Srinivasan, Pabitra Mitra, Debdoot Sheet

* To appear in the Proceedings of the 2019 IEEE International Symposium on Biomedical Imaging (ISBI 2019); First three authors contributed equally

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Debdoot Sheet

Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss

Identification of Cervical Pathology using Adversarial Neural Networks

IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report

A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms

Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening

A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs

CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation

Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging

Adversarially Trained Deep Neural Semantic Hashing Scheme for Subjective Search in Fashion Inventory

Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network

Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos

Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy

Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks

SUMNet: Fully Convolutional Model for Fast Segmentation of Anatomical Structures in Ultrasound Volumes

Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution

UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks

Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms

Simulating Patho-realistic Ultrasound Images using Deep Generative Networks with Adversarial Learning

ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network

Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data

An Unsupervised Approach for Overlapping Cervical Cell Cytoplasm Segmentation

Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Label-free Angiography

DASA: Domain Adaptation in Stacked Autoencoders using Systematic Dropout

Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images

Unsupervised Segmentation of Overlapping Cervical Cell Cytoplasm