S. Sinha

发表

Feasibility of Quantitative Tissue Characterization Using Novel Parameters Extracted From Photoacoustic Power Spectrum Considering Multiple Absorbers

N. Rao, V. Dogra, B. Chinni, 2021, Ultrasonic imaging.

Practical Approach of Producing Delta Modulation and Demodulation

S. Sinha, Anindita Sinha, T. Bhowmick, 2016 .

Detection of structural variations during liver cancer progression

S. Sinha, 2015 .

Integral Channel Feature based arbitrary object tracking

K. Bhurchandi, S. Sinha, M. Parate, 2016, 2016 Twenty Second National Conference on Communication (NCC).

Computation of Photoacoustic Absorber Size from Deconvolved Photoacoustic Signal Using Estimated System Impulse Response

N. Rao, V. Dogra, B. Chinni, 2021, Ultrasonic imaging.

Compressive Sensing MRI Reconstruction with Shearlet Sparsity and non-Convex Hybrid Total Variation

S. Sinha, Nikhil Dhengre, 2022, Applied Magnetic Resonance.

Real time Automatic Polyp Detection in White light Endoscopy videos using a combination of YOLO and DeepSORT

S. Sinha, C. Venkatesh, Jillella Sai Charan Reddy, 2022, 2022 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS).

Photoacoustic Imaging for Management of Breast Cancer: A Literature Review and Future Perspectives

Neeraj Bokde, Saugata Sinha, A. Prabhakara Rao, 2020 .

An edge guided cascaded U‐net approach for accelerated magnetic resonance imaging reconstruction

S. Sinha, Nikhil Dhengre, 2021, Int. J. Imaging Syst. Technol..

Computer-aided automated diminutive colonic polyp detection in colonoscopy by using deep machine learning system; first indigenous algorithm developed in India

S. Sinha, S. Mazumdar, Saurabh Jha, 2023, Indian Journal of Gastroenterology.

Multiscale U-net-based accelerated magnetic resonance imaging reconstruction

S. Sinha, Nikhil Dhengre, 2021, Signal, Image and Video Processing.

Photoacoustic Image Analysis for Cancer Detection and Building a Novel Ultrasound Imaging System

Saugata Sinha, S. Sinha, 2014 .

Prostate cancer detection using photoacoustic imaging and deep learning

Raymond W. Ptucha, Arjun Raj Rajanna, Navalgund Rao, 2016, Image Processing: Algorithms and Systems.

Deep 3D convolutional neural network for automatic cancer tissue detection using multispectral photoacoustic imaging

Navalgund Rao, Kamal Jnawali, Bhargava Chinni, 2019, Medical Imaging.

Quantitative tissue characterization using discrete wavelet transform of photoacoustic signals: a feasibility study

Saugata Sinha, Nikita Rathi, Nikita Rathi, 2019, Signal Image Video Process..

Quantitative tissue characterization using discrete wavelet transform of photoacoustic signals: a feasibility study

Nikita Rathi, S. Sinha, 2019, Signal, Image and Video Processing.

Computer-aided tissue characterization for detection of thyroid cancer using multi-wavelength photoacoustic imaging.

N. Rao, V. Dogra, B. Chinni, 2023, 2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS).

K sparse autoencoder-based accelerated reconstruction of magnetic resonance imaging

Saugata Sinha, Nikhil Dhengre, S. Sinha, 2021, The Visual Computer.

Frequency Domain Analysis of Multiwavelength Photoacoustic Signals for Differentiating Among Malignant, Benign, and Normal Thyroids in an Ex Vivo Study With Human Thyroids

Saugata Sinha, N. Rao, V. Dogra, 2017, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

Computer aided detection of prostate cancer using multiwavelength photoacoustic data with convolutional neural network

Bhargava Chinni, Navalgund Rao, Saugata Sinha, 2020, Biomed. Signal Process. Control..

Performance of near-infrared dyes as effective contrast agents for breast cancer detection through simulation of photoacoustic imaging

Saugata Sinha, A. Prabhakara Rao, S. Sinha, 2020 .