66 citations · 308 across the 39 of their papers we have counts for
11 papers · 1 filter
Deep Learning for Automated Screening of Tuberculosis from Indian Chest X-rays: Analysis and Update
Anushikha Singh, Brejesh Lall, B. K. Panigrahi +4
Background and Objective: Tuberculosis (TB) is a significant public health issue and a leading cause of death worldwide. Millions of deaths can be averted by early diagnosis and su…
Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images
Anushikha Singh, Brejesh Lall, B. K. Panigrahi +4
A chest radiograph, commonly called chest x-ray (CxR), plays a vital role in the diagnosis of various lung diseases, such as lung cancer, tuberculosis, pneumonia, and many more. Au…
Neural Compound-Word (Sandhi) Generation and Splitting in Sanskrit Language
Sushant Dave, Arun Kumar Singh, Prathosh A. P. +1
This paper describes neural network based approaches to the process of the formation and splitting of word-compounding, respectively known as the Sandhi and Vichchhed, in Sanskrit…
A Benchmark Corpus and Neural Approach for Sanskrit Derivative Nouns Analysis
Arun Kumar Singh, Sushant Dave, Prathosh A. P. +2
This paper presents first benchmark corpus of Sanskrit Pratyaya (suffix) and inflectional words (padas) formed due to suffixes along with neural network based approaches to process…
6G for Bridging the Digital Divide: Wireless Connectivity to Remote Areas
Abdelaali Chaoub, Marco Giordani, Brejesh Lall +9
In telecommunications, network service accessibility as a requirement is closely related to equitably serving the population residing at locations that can most appropriately be de…
Semantics Preserving Hierarchy based Retrieval of Indian heritage monuments
Ronak Gupta, Prerana Mukherjee, Brejesh Lall +1
Monument classification can be performed on the basis of their appearance and shape from coarse to fine categories. Although there is much semantic information present in the monum…
PerceptionGAN: Real-world Image Construction from Provided Text through Perceptual Understanding
Kanish Garg, Ajeet kumar Singh, Dorien Herremans +1
Generating an image from a provided descriptive text is quite a challenging task because of the difficulty in incorporating perceptual information (object shapes, colors, and their…
Image fusion using symmetric skip autoencodervia an Adversarial Regulariser
Snigdha Bhagat, S. D. Joshi, Brejesh Lall
It is a challenging task to extract the best of both worlds by combining the spatial characteristics of a visible image and the spectral content of an infrared image. In this work,…
Deep feature fusion for self-supervised monocular depth prediction
Vinay Kaushik, Brejesh Lall
Recent advances in end-to-end unsupervised learning has significantly improved the performance of monocular depth prediction and alleviated the requirement of ground truth depth. A…
A 6G White Paper on Connectivity for Remote Areas
Harri Saarnisaari, Sudhir Dixit, Mohamed-Slim Alouini +31
In many places all over the world rural and remote areas lack proper connectivity that has led to increasing digital divide. These areas might have low population density, low inco…
Compressive sensing based privacy for fall detection
Ronak Gupta, Prashant Anand, Santanu Chaudhury +2
Fall detection holds immense importance in the field of healthcare, where timely detection allows for instant medical assistance. In this context, we propose a 3D ConvNet architect…