18 citations · 21 across the 6 of their papers we have counts for
6 papers
Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs
Samannaya Adhikari, Navchetan Awasthi, Siddhartha Sarma
In wireless powered communication networks, medium access control protocols for devices using the harvest-then-transmit strategy must be distributed, low-overhead, and capable of h…
The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction
Lidia Garrucho, Smriti Joshi, Kaisar Kushibar +43
Breast cancer is the most frequently diagnosed malignancy among women worldwide and a leading cause of cancer-related mortality. Dynamic contrast-enhanced magnetic resonance imagin…
Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge
Gongning Luo, Mingwang Xu, Hongyu Chen +34
Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of deaths. Automated 3D Breast Ultrasound (ABUS) is a ne…
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation
Vincent Loos, Rohit Pardasani, Navchetan Awasthi
Medical image segmentation is a critical task in healthcare applications, and U-Nets have demonstrated promising results. This work delves into the understudied aspect of receptive…
Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans
Navchetan Awasthi, Rohit Pardasani, Swati Gupta
Gliomas are one of the most frequent brain tumors and are classified into high grade and low grade gliomas. The segmentation of various regions such as tumor core, enhancing tumor…
Sinogram super-resolution and denoising convolutional neural network (SRCN) for limited data photoacoustic tomography
Navchetan Awasthi, Rohit Pardasani, Sandeep Kumar Kalva +2
The quality of the reconstructed photoacoustic image largely depends on the amount of photoacoustic (PA) boundary data available, which in turn is proportional to the number of det…