no code implementations • 5 Mar 2024 • Suraj Bhute, Subhamoy Mandal, Debashree Guha
In an experimental study, a convolutional noise-removing auto-encoder with skip connection, a deep learning method, was used to improve ultrasound images of breast cancer.
no code implementations • 2 Jun 2023 • Prashant Kumar, Swatantra Dhara, Ayan Gope, Jyotirmoy Chatterjee, Subhamoy Mandal
This work demonstrated the use of OCT as an effective imaging tool for objective and non-invasive assessments of wound severity, the potential for healing, and healing progress by measuring the optical characteristics of skin components.
no code implementations • 26 Jul 2017 • Jaya Prakash, Subhamoy Mandal, Daniel Razansky, Vasilis Ntziachristos
The aim of the work is to develop an inversion method which reduces the occurrence of negative values and improves the quantitative performance of optoacoustic imaging.
no code implementations • 5 Mar 2016 • Viswanath P Sudarshan, Tobias Weiser, Phalgun Chintala, Subhamoy Mandal, Rahul Dutta
Visual observation of Cumulus Oocyte Complexes provides only limited information about its functional competence, whereas the molecular evaluations methods are cumbersome or costly.
BIG-bench Machine Learning Cultural Vocal Bursts Intensity Prediction +1
no code implementations • 28 Oct 2015 • Subhamoy Mandal, Xosé Luís Deán-Ben, Daniel Razansky
Segmentation has been further shown to enhance the reconstruction performance in many tomographic imaging modalities by accounting for heterogeneities of the excitation field and tissue properties in the imaged region.
no code implementations • 9 Jun 2015 • Subhamoy Mandal, Viswanath Pamulakanty Sudarshan, Yeshaswini Nagaraj, Xose Luis Dean Ben, Daniel Razansky
In this article, we present a novel scheme for segmenting the image boundary (with the background) in optoacoustic small animal in vivo imaging systems.