Ashirbani Saha

Orcid: 0000-0002-7650-1720

According to our database1, Ashirbani Saha authored at least 36 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Measurement of adverse cosmesis in breast cancer: A deep learning approach.
Expert Syst. Appl., March, 2024

2023
Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review.
CoRR, 2023

Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities.
CoRR, 2023

2020
Machine learning applications using diffusion tensor imaging of human brain: A PubMed literature review.
CoRR, 2020

Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model.
CoRR, 2020

Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis images.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics.
IEEE Trans. Medical Imaging, 2019

Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ.
Comput. Biol. Medicine, 2019

Deep learning for identifying radiogenomic associations in breast cancer.
Comput. Biol. Medicine, 2019

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm.
Comput. Biol. Medicine, 2019

2018
Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images.
CoRR, 2018

Deep learning in radiology: an overview of the concepts and a survey of the state of the art.
CoRR, 2018

Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Breast cancer molecular subtype classification using deep features: preliminary results.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Effects of MRI scanner parameters on breast cancer radiomics.
Expert Syst. Appl., 2017

Deep learning for segmentation of brain tumors: can we train with images from different institutions?
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomics.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
Full-reference image quality assessment by combining global and local distortion measures.
Signal Process., 2016

2015
Investigating Potential Combinations of Visual Features towards Improvement of Full-Reference and No-Reference Image Quality Assessment.
PhD thesis, 2015

Utilizing Image Scales Towards Totally Training Free Blind Image Quality Assessment.
IEEE Trans. Image Process., 2015

2014
Analysis and extension of multiresolution singular value decomposition.
Inf. Sci., 2014

High Frequency Content based Stimulus for Perceptual Sharpness Assessment in Natural Images.
CoRR, 2014

Multimodal 3D histogram for moving object detection.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Dual Gaussian mixture model with pixel history for background suppression.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013
Perceptual image quality assessment using phase deviation sensitive energy features.
Signal Process., 2013

Mutual spectral residual approach for multifocus image fusion.
Digit. Signal Process., 2013

A study on using spectral saliency detection approaches for image quality assessment.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Multiresolution based sigma-delta for motion segmentation.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

SVD Filter Based Multiscale Approach for Image Quality Assessment.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, 2012

2010
Curvelet Entropy for Facial Expression Recognition.
Proceedings of the Advances in Multimedia Information Processing - PCM 2010, 2010

Facial expression recognition using curvelet based local binary patterns.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
A cost effective probabilistic approach to localization and mapping.
Proceedings of the 2009 IEEE International Conference on Electro/Information Technology, 2009


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