b'Debdoot Sheet'

DeepAI AI Chat

Featured Co-authors

Hao Wang
366 publications
Nassir Navab
318 publications
Li Zhang
240 publications
Qi Liu
156 publications
Zhen Li
122 publications
Chen Qian
106 publications
Lin Yang
100 publications
Shiliang Pu
96 publications
Danail Stoyanov
68 publications
Baoquan Chen
54 publications
Han Li
49 publications

research

∙ 02/13/2023

CholecTriplet2022: Show me a tool and tell me the triplet – an endoscopic vision challenge for surgical action triplet detection

Formalizing surgical activities as triplets of the used instruments, act...

1 Chinedu Innocent Nwoye, et al. ∙

research

∙ 09/30/2022

Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks

Convolutional Neural Networks have played a significant role in various ...

11 Rakshith Sathish, et al. ∙

research

∙ 04/10/2022

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Context-aware decision support in the operating room can foster surgical...

32 Chinedu Innocent Nwoye, et al. ∙

research

∙ 06/16/2020

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

Lung cancer is the most common form of cancer found worldwide with a hig...

14 Rakshith Sathish, et al. ∙

research

∙ 04/28/2020

Identification of Cervical Pathology using Adversarial Neural Networks

Various screening and diagnostic methods have led to a large reduction o...

0 Abhilash Nandy, et al. ∙

research

∙ 04/26/2020

IROS 2019 Lifelong Robotic Vision Challenge – Lifelong Object Recognition Report

This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Li...

30 Qi She, et al. ∙

research

∙ 04/24/2020

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

Mammograms are commonly employed in the large scale screening of breast ...

10 Sarath Chandra K, et al. ∙

research

∙ 04/24/2020

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

Chest radiographs are primarily employed for the screening of cardio, th...

5 Arunava Chakravarty, et al. ∙

research

∙ 04/24/2020

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

Chest radiographs are primarily employed for the screening of pulmonary ...

6 Arka Mitra, et al. ∙

research

∙ 01/17/2020

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

Segmentation of abdominal organs has been a comprehensive, yet unresolve...

0 A. Emre Kavur, et al. ∙

research

∙ 08/03/2019

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

Ischaemic stroke is a medical condition caused by occlusion of blood sup...

1 Rachana Sathish, et al. ∙

research

∙ 06/30/2019

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

The simple approach of retrieving a closest match of a query image from ...

0 Saket Singh, et al. ∙

research

∙ 06/10/2019

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

Convolutional neural networks (CNN) are generally designed with a heuris...

0 Rachana Sathish, et al. ∙

research

∙ 05/20/2019

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

Surgical workflow analysis is of importance for understanding onset and ...

10 Shanka Subhra Mondal, et al. ∙

research

∙ 02/07/2019

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

Diabetic retinopathy (DR) is the most common form of diabetic eye diseas...

0 Oindrila Saha, et al. ∙

research

∙ 01/21/2019

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

Coronary artery disease accounts for a large number of deaths across the...

0 Debarghya China, et al. ∙

research

∙ 01/21/2019

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

Ultrasound imaging is generally employed for real-time investigation of ...

0 Sumanth Nandamuri, et al. ∙

research

∙ 01/18/2019

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

Adversarially trained deep neural networks have significantly improved p...

0 Francis Tom, et al. ∙

research

∙ 01/17/2019

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

Ultrasound image compression by preserving speckle-based key information...

0 Debarghya China, et al. ∙

research

∙ 05/17/2018

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

Early works on medical image compression date to the 1980's with the imp...

0 Aupendu Kar, et al. ∙

research

∙ 12/21/2017

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

Ultrasound imaging makes use of backscattering of waves during their int...

0 Francis Tom, et al. ∙

research

∙ 05/02/2017

Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data

Training deep fully convolutional neural networks (F-CNNs) for semantic ...

0 Abhijit Guha Roy, et al. ∙

research

∙ 04/07/2017

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

Optical coherence tomography (OCT) is used for non-invasive diagnosis of...

0 Abhijit Guha Roy, et al. ∙

research

∙ 09/19/2016

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

Automated segmentation of retinal blood vessels in label-free fundus ima...

0 Avisek Lahiri, et al. ∙

research

∙ 03/19/2016

DASA: Domain Adaptation in Stacked Autoencoders using Systematic Dropout

Domain adaptation deals with adapting behaviour of machine learning base...

0 Abhijit Guha Roy, et al. ∙

research

∙ 03/15/2016

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

Vision impairment due to pathological damage of the retina can largely b...

0 Debapriya Maji, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world