A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices
Cardiac magnetic resonance (CMR) imaging is a valuable modality in the diagnosis and
characterization of cardiovascular diseases, since it can identify abnormalities in structure and …
characterization of cardiovascular diseases, since it can identify abnormalities in structure and …
Recurrence analysis of extreme event-like data
The identification of recurrences at various timescales in extreme event-like time series is
challenging because of the rare occurrence of events which are separated by large temporal …
challenging because of the rare occurrence of events which are separated by large temporal …
Deep computational model for the inference of ventricular activation properties
Patient-specific cardiac computational models are essential for the efficient realization of
precision medicine and in-silico clinical trials using digital twins. Cardiac digital twins can …
precision medicine and in-silico clinical trials using digital twins. Cardiac digital twins can …
[HTML][HTML] Use of machine learning and artificial intelligence to predict SARS-CoV-2 infection from full blood counts in a population
Since December 2019 the novel coronavirus SARS-CoV-2 has been identified as the cause
of the pandemic COVID-19. Early symptoms overlap with other common conditions such as …
of the pandemic COVID-19. Early symptoms overlap with other common conditions such as …
Spatial coherence patterns of extreme winter precipitation in the US
Extreme precipitation events have a significant impact on life and property. The US experiences
huge economic losses due to severe floods caused by extreme precipitation. With the …
huge economic losses due to severe floods caused by extreme precipitation. With the …
Role of cyclooxygenase 2 (COX-2) in prognosis of breast cancer
…, S Saha, G Sa, AK Manna, A Banerjee… - Indian journal of surgical …, 2014 - Springer
COX-2 regulates tumour growth, invasion and metastasis in breast cancer. This study
investigated the association between COX-2 expression in human breast cancer versus the …
investigated the association between COX-2 expression in human breast cancer versus the …
[HTML][HTML] DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays
The global pandemic of coronavirus disease 2019 (COVID-19) is continuing to have a
significant effect on the well-being of the global population, thus increasing the demand for rapid …
significant effect on the well-being of the global population, thus increasing the demand for rapid …
Cascading hazards in the aftermath of Australia's 2019/2020 Black Summer wildfires
…, LV Luna, E Schönfeldt, J Vogel, A Banerjee… - Earth's …, 2021 - Wiley Online Library
Following an unprecedented drought, Australia's 2019/2020 “Black Summer” fire season
caused severe damage, gravely impacting both humans and ecosystems, and increasing …
caused severe damage, gravely impacting both humans and ecosystems, and increasing …
Rough sets and stomped normal distribution for simultaneous segmentation and bias field correction in brain MR images
A Banerjee, P Maji - IEEE Transactions on Image Processing, 2015 - ieeexplore.ieee.org
The segmentation of brain MR images into different tissue classes is an important task for
automatic image analysis technique, particularly due to the presence of intensity …
automatic image analysis technique, particularly due to the presence of intensity …
Rough-probabilistic clustering and hidden Markov random field model for segmentation of HEp-2 cell and brain MR images
A Banerjee, P Maji - Applied Soft Computing, 2016 - Elsevier
The segmentation of images into different meaningful classes is an important task for
automatic image analysis technique. The finite Gaussian mixture model is one of the popular …
automatic image analysis technique. The finite Gaussian mixture model is one of the popular …