Publications

Parameter-efficient deep-learning-based model for segmentation with radiomic feature extraction

D Sleiman, N Awasthi

Assessing image quality in photoacoustic imaging: A metric-based and deep learning-based evaluation

M Van Der Brugge, KJ Francis, N Awasthi

Transformer-based optical attenuation compensation and denoising in photoacoustic imaging

CP Jensen, N Awasthi, KJ Francis

Pa Omninet: A Retraining-Free, Generalizable Deep Learning Framework for Robust Photoacoustic Image Reconstruction

O Stam, KJ Francis, N Awasthi

Low-rank distribution embedding of dynamic thermographic data for breast cancer detection

H Siezen, N Awasthi, MS Rad, L Ma, B Rodd

Minimal data poisoning attack in federated learning for medical image classification: An attacker perspective

KN Kumar, CK Mohan, LR Cenkeramaddi, N Awasthi

A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using ECG

U Gupta, N Paluru, D Nankani, K Kulkarni, N Awasthi

Demystifying the effect of receptive field size in U-Net models for medical image segmentation

V Loos, R Pardasani, N Awasthi

Automatic segmentation of abdominal aortic aneurysms from time-resolved 3-D ultrasound images using deep learning

EJ Maas, N Awasthi, EG van Pelt, MRHM van Sambeek, RGP Lopata

Deep learning-based segmentation of abdominal aortic aneurysms and intraluminal thrombus in 3D ultrasound images

A Nievergeld, B Cetinkaya, E Maas, M van Sambeek, R Lopata, N Awasthi

Physiological signal processing for wellness

RC Joshi, N Awasthi, P Parida, MJ Saikia

LVNet: Lightweight model for left ventricle segmentation for short axis views in echocardiographic imaging

N Awasthi, L Vermeer, LS Fixsen, RGP Lopata, JPW Pluim

Bandwidth improvement in ultrasound image reconstruction using deep learning techniques

N Awasthi, L van Anrooij, G Jansen, HM Schwab, JPW Pluim, RGP Lopata

Mini-COVIDNet: Efficient lightweight deep neural network for ultrasound based point-of-care detection of COVID-19

N Awasthi, A Dayal, LR Cenkeramaddi, PK Yalavarthy

SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment

N Petrick, S Akbar, KH Cha, S Nofech-Mozes, B Sahiner, MA Gavrielides, N Awasthi, et al.

Advanced ultrasound and photoacoustic imaging in cardiology

M Wu, N Awasthi, NM Rad, JPW Pluim, RGP Lopata

Dimensionality reduced plug and play priors for improving photoacoustic tomographic imaging with limited noisy data

N Awasthi, SK Kalva, M Pramanik, PK Yalavarthy

Utility of a smartphone-based system (cvrPhone) in estimating minute ventilation from electrocardiographic signals

K Kulkarni, N Awasthi, JD Roberts Jr, AA Armoundas

Low-cost, continuous motion imaging, computationally augmented whole slide imager for digital pathology

P Katare, N Awasthi, A Venukumar, SS Gorthi

Deep neural network-based sinogram super-resolution and bandwidth enhancement for limited-data photoacoustic tomography

N Awasthi, G Jain, SK Kalva, M Pramanik, PK Yalavarthy

Guided filter based image enhancement for focal error compensation in low cost automated histopathology microscopic system

N Awasthi, P Katare, SS Gorthi, PK Yalavarthy

PA-Fuse: Deep supervised approach for the fusion of photoacoustic images with distinct reconstruction characteristics

N Awasthi, KR Prabhakar, SK Kalva, M Pramanik, RV Babu, PK Yalavarthy

Image-guided filtering for improving photoacoustic tomographic image reconstruction

N Awasthi, SK Kalva, M Pramanik, PK Yalavarthy

Vector extrapolation methods for accelerating iterative reconstruction methods in limited-data photoacoustic tomography

N Awasthi, SK Kalva, M Pramanik, PK Yalavarthy