66 citations · 206 across the 18 of their papers we have counts for
28 papers
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…
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,…