Ashirbani Saha

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 26

Top Topics

Automatically Extracted

Blind Image Quality Assessment

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Comput. Biol. Medicine

Publications

Ashirbani Saha, Mark Levine, Isaac Kong, Elena Parvez, Timothy Whelan
Measurement of adverse cosmesis in breast cancer: A deep learning approach. Expert Syst. Appl. 238 (Part F) (2024)
Ricardo Gonzalez, Ashirbani Saha, Clinton J. V. Campbell, Peyman Nejat, Cynthia Lokker, Andrew P. Norgan
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities. CoRR (2023)
Ricardo Gonzalez, Peyman Nejat, Ashirbani Saha, Clinton J. V. Campbell, Andrew P. Norgan, Cynthia Lokker
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)
Ashirbani Saha, Pantea Fadaiefard, Jessica E. Rabski, Alireza Sadeghian, Michael D. Cusimano
Machine learning applications using diffusion tensor imaging of human brain: A PubMed literature review. CoRR (2020)
Mateusz Buda, Ashirbani Saha, Ruth Walsh, Sujata V. Ghate, Nianyi Li, Albert Swiecicki, Joseph Y. Lo, Maciej A. Mazurowski
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)
Albert Swiecicki, Mateusz Buda, Ashirbani Saha, Nianyi Li, Sujata V. Ghate, Ruth Walsh, Maciej A. Mazurowski
Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis images. Medical Imaging: Computer-Aided Diagnosis (2020)
Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. Comput. Biol. Medicine 115 (2019)
Mateusz Buda, Ashirbani Saha, Maciej A. Mazurowski
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm. CoRR (2019)
Mateusz Buda, Ashirbani Saha, Maciej A. Mazurowski
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm. Comput. Biol. Medicine 109 (2019)
Zhe Zhu, Ehab Albadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski
Deep learning for identifying radiogenomic associations in breast cancer. Comput. Biol. Medicine 109 (2019)
Jun Zhang, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski
Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics. IEEE Trans. Medical Imaging 38 (2) (2019)
Jun Zhang, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski
Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics. Medical Imaging: Computer-Aided Diagnosis (2018)
Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data. Medical Imaging: Computer-Aided Diagnosis (2018)
Maciej A. Mazurowski, Mateusz Buda, Ashirbani Saha, Mustafa R. Bashir
Deep learning in radiology: an overview of the concepts and a survey of the state of the art. CoRR (2018)
Ashirbani Saha, Michael R. Harowicz, Lars J. Grimm, Connie E. Kim, Ruth Walsh, Sujata V. Ghate, Maciej A. Mazurowski
Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation. Medical Imaging: Computer-Aided Diagnosis (2018)
Jun Zhang, Sujata V. Ghate, Lars J. Grimm, Ashirbani Saha, Elizabeth Hope Cain, Zhe Zhu, Maciej A. Mazurowski
Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis (2018)
Jun Zhang, Elizabeth Hope Cain, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski
Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression. Medical Imaging: Computer-Aided Diagnosis (2018)
Zhe Zhu, Ehab Albadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski
Breast cancer molecular subtype classification using deep features: preliminary results. Medical Imaging: Computer-Aided Diagnosis (2018)
Jun Zhang, Ashirbani Saha, Brian J. Soher, Maciej A. Mazurowski
Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images. CoRR (2018)
Maciej A. Mazurowski, Kal Clark, Nicholas M. Czarnek, Parisa Shamsesfandabadi, Katherine B. Peters, Ashirbani Saha
Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomics. Medical Imaging: Computer-Aided Diagnosis (2017)
David Paredes, Ashirbani Saha, Maciej A. Mazurowski
Deep learning for segmentation of brain tumors: can we train with images from different institutions? Medical Imaging: Computer-Aided Diagnosis (2017)
Ashirbani Saha, Xiaozhi Yu, Dushyant Sahoo, Maciej A. Mazurowski
Effects of MRI scanner parameters on breast cancer radiomics. Expert Syst. Appl. 87 (2017)
Zhe Zhu, Ehab Albadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski
Deep Learning for identifying radiogenomic associations in breast cancer. CoRR (2017)
Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. CoRR (2017)
Ashirbani Saha, Q. M. Jonathan Wu
Full-reference image quality assessment by combining global and local distortion measures. Signal Process. 128 (2016)
Ashirbani Saha, Qingming Jonathan Wu
Utilizing Image Scales Towards Totally Training Free Blind Image Quality Assessment. IEEE Trans. Image Process. 24 (6) (2015)
Dibyendu Mukherjee, Ashirbani Saha, Q. M. Jonathan Wu, Wei Jiang
Dual Gaussian mixture model with pixel history for background suppression. SMC (2014)
Gaurav Bhatnagar, Ashirbani Saha, Q. M. Jonathan Wu, Pradeep K. Atrey
Analysis and extension of multiresolution singular value decomposition. Inf. Sci. 277 (2014)
Ashirbani Saha, Q. M. Jonathan Wu
Full-reference image quality assessment by combining global and local distortion measures. CoRR (2014)
Ashirbani Saha, Q. M. Jonathan Wu
High Frequency Content based Stimulus for Perceptual Sharpness Assessment in Natural Images. CoRR (2014)
Dibyendu Mukherjee, Ashirbani Saha, Q. M. Jonathan Wu, Wei Jiang
Multimodal 3D histogram for moving object detection. SMC (2014)
Ashirbani Saha, Q. M. Jonathan Wu
A study on using spectral saliency detection approaches for image quality assessment. ICASSP (2013)
Ashirbani Saha, Gaurav Bhatnagar, Q. M. Jonathan Wu
Mutual spectral residual approach for multifocus image fusion. Digit. Signal Process. 23 (4) (2013)
Ashirbani Saha, Q. M. Jonathan Wu
Perceptual image quality assessment using phase deviation sensitive energy features. Signal Process. 93 (11) (2013)
Ashirbani Saha, Gaurav Bhatnagar, Q. M. Jonathan Wu
SVD Filter Based Multiscale Approach for Image Quality Assessment. ICME Workshops (2012)
Dibyendu Mukherjee, Ashirbani Saha, Q. M. Jonathan Wu
Multiresolution based sigma-delta for motion segmentation. ITSC (2012)
Ashirbani Saha, Q. M. Jonathan Wu
Facial expression recognition using curvelet based local binary patterns. ICASSP (2010)
Ashirbani Saha, Q. M. Jonathan Wu
Curvelet Entropy for Facial Expression Recognition. PCM (2) (2010)
Dibyendu Mukherjee, Ashirbani Saha, Pankajkumar Mendapara, Dan Wu, Q. M. Jonathan Wu
A cost effective probabilistic approach to localization and mapping. EIT (2009)