Sohini Roychowdhury | DeepAI

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Guillermo Sapiro
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Francesco Piccoli
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∙ 04/05/2023

NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks

Semantic segmentation for medical 3D image stacks enables accurate volum...

0 Sohini Roychowdhury, et al. ∙

∙ 03/25/2022

Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification

Automating video-based data and machine learning pipelines poses several...

0 Sohini Roychowdhury, et al. ∙

∙ 10/27/2021

QU-net++: Image Quality Detection Framework for Segmentation of 3D Medical Image Stacks

Automated segmentation of pathological regions of interest has been show...

0 Sohini Roychowdhury, et al. ∙

∙ 02/23/2021

SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology

Although automated pathology classification using deep learning (DL) has...

0 Sohini Roychowdhury, et al. ∙

∙ 02/02/2021

OPAM: Online Purchasing-behavior Analysis using Machine learning

Customer purchasing behavior analysis plays a key role in developing ins...

7 Sohini Roychowdhury, et al. ∙

∙ 12/05/2020

Cirrus: A Long-range Bi-pattern LiDAR Dataset

In this paper, we introduce Cirrus, a new long-range bi-pattern LiDAR pu...

0 Ze Wang, et al. ∙

∙ 10/06/2020

Categorizing Online Shopping Behavior from Cosmetics to Electronics: An Analytical Framework

A success factor for modern companies in the age of Digital Marketing is...

0 Sohini Roychowdhury, et al. ∙

∙ 08/07/2020

Few Shot Learning Framework to Reduce Inter-observer Variability in Medical Images

Most computer aided pathology detection systems rely on large volumes of...

0 Sohini Roychowdhury, et al. ∙

∙ 05/15/2020

FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network

Pedestrian intention recognition is very important to develop robust and...

0 Francesco Piccoli, et al. ∙

∙ 09/26/2019

Range Adaptation for 3D Object Detection in LiDAR

LiDAR-based 3D object detection plays a crucial role in modern autonomou...

2 Ze Wang, et al. ∙

∙ 03/17/2017

Computer Aided Detection of Anemia-like Pallor

Paleness or pallor is a manifestation of blood loss or low hemoglobin co...

0 Sohini Roychowdhury, et al. ∙

∙ 10/24/2016

Automated OCT Segmentation for Images with DME

This paper presents a novel automated system that segments six sub-retin...

0 Sohini Roychowdhury, et al. ∙

∙ 08/13/2016

Automated Selection of Uniform Regions for CT Image Quality Detection

CT images are widely used in pathology detection and follow-up treatment...

0 Maitham D Naeemi, et al. ∙

∙ 05/24/2016

Blind Analysis of CT Image Noise Using Residual Denoised Images

CT protocol design and quality control would benefit from automated tool...

0 Sohini Roychowdhury, et al. ∙

∙ 03/26/2016

Classification of Large-Scale Fundus Image Data Sets: A Cloud-Computing Framework

Large medical image data sets with high dimensionality require substanti...

0 Sohini Roychowdhury, et al. ∙

∙ 03/26/2016

A generalized flow for multi-class and binary classification tasks: An Azure ML approach

The constant growth in the present day real-world databases pose computa...

0 Matthew Bihis, et al. ∙

∙ 11/11/2015

Facial Expression Detection using Patch-based Eigen-face Isomap Networks

Automated facial expression detection problem pose two primary challenge...

0 Sohini Roychowdhury, et al. ∙

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