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ORCIDAshirbani Saha
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2020 – today
- 2024
[j11]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): 122209 (2024)- 2023
- [i11]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 abs/2312.03812 (2023) - [i10]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 abs/2312.06697 (2023) - 2020
- [c17]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. Computer-Aided Diagnosis 2020 - [i9]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 abs/2011.07995 (2020) - [i8]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 abs/2012.10517 (2020)
2010 – 2019
- 2019
- [j10]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: 85-90 (2019) - [j9]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: 218-225 (2019) - [j8]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) - [j7]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): 435-447 (2019) - [i7]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 abs/1906.03720 (2019) - 2018
- [c16]Jun Zhang, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski:
Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics. Computer-Aided Diagnosis 2018: 105750U - [c15]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. Computer-Aided Diagnosis 2018: 105752V - [c14]Zhe Zhu, Ehab Albadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski:
Breast cancer molecular subtype classification using deep features: preliminary results. Computer-Aided Diagnosis 2018: 105752X - [c13]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. Computer-Aided Diagnosis 2018: 105752W - [c12]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. Computer-Aided Diagnosis 2018: 1057507 - [c11]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. Computer-Aided Diagnosis 2018: 1057525 - [i6]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 abs/1802.08717 (2018) - [i5]Jun Zhang, Ashirbani Saha, Brian J. Soher, Maciej A. Mazurowski:
Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images. CoRR abs/1807.02152 (2018) - 2017
- [j6]Ashirbani Saha, Xiaozhi Yu, Dushyant Sahoo, Maciej A. Mazurowski:
Effects of MRI scanner parameters on breast cancer radiomics. Expert Syst. Appl. 87: 384-391 (2017) - [c10]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. Computer-Aided Diagnosis 2017: 101341T - [c9]David Paredes, Ashirbani Saha, Maciej A. Mazurowski:
Deep learning for segmentation of brain tumors: can we train with images from different institutions? Computer-Aided Diagnosis 2017: 101341P - [i4]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 abs/1711.10577 (2017) - [i3]Zhe Zhu, Ehab Albadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski:
Deep Learning for identifying radiogenomic associations in breast cancer. CoRR abs/1711.11097 (2017) - 2016
- [j5]Ashirbani Saha, Q. M. Jonathan Wu:
Full-reference image quality assessment by combining global and local distortion measures. Signal Process. 128: 186-197 (2016) - 2015
- [b1]Ashirbani Saha:
Investigating Potential Combinations of Visual Features towards Improvement of Full-Reference and No-Reference Image Quality Assessment. University of Windsor, Ontario, Canada, 2015 - [j4]Ashirbani Saha, Qingming Jonathan Wu:
Utilizing Image Scales Towards Totally Training Free Blind Image Quality Assessment. IEEE Trans. Image Process. 24(6): 1879-1892 (2015) - 2014
- [j3]Gaurav Bhatnagar, Ashirbani Saha, Q. M. Jonathan Wu, Pradeep K. Atrey:
Analysis and extension of multiresolution singular value decomposition. Inf. Sci. 277: 247-262 (2014) - [c8]Dibyendu Mukherjee, Ashirbani Saha, Q. M. Jonathan Wu, Wei Jiang:
Dual Gaussian mixture model with pixel history for background suppression. SMC 2014: 476-482 - [c7]Dibyendu Mukherjee, Ashirbani Saha, Q. M. Jonathan Wu, Wei Jiang:
Multimodal 3D histogram for moving object detection. SMC 2014: 2397-2402 - [i2]Ashirbani Saha, Q. M. Jonathan Wu:
Full-reference image quality assessment by combining global and local distortion measures. CoRR abs/1412.5488 (2014) - [i1]Ashirbani Saha, Q. M. Jonathan Wu:
High Frequency Content based Stimulus for Perceptual Sharpness Assessment in Natural Images. CoRR abs/1412.5490 (2014) - 2013
- [j2]Ashirbani Saha, Gaurav Bhatnagar, Q. M. Jonathan Wu:
Mutual spectral residual approach for multifocus image fusion. Digit. Signal Process. 23(4): 1121-1135 (2013) - [j1]Ashirbani Saha, Q. M. Jonathan Wu:
Perceptual image quality assessment using phase deviation sensitive energy features. Signal Process. 93(11): 3182-3191 (2013) - [c6]Ashirbani Saha, Q. M. Jonathan Wu:
A study on using spectral saliency detection approaches for image quality assessment. ICASSP 2013: 1889-1893 - 2012
- [c5]Ashirbani Saha, Gaurav Bhatnagar, Q. M. Jonathan Wu:
SVD Filter Based Multiscale Approach for Image Quality Assessment. ICME Workshops 2012: 43-48 - [c4]Dibyendu Mukherjee, Ashirbani Saha, Q. M. Jonathan Wu:
Multiresolution based sigma-delta for motion segmentation. ITSC 2012: 313-318 - 2010
- [c3]Ashirbani Saha, Q. M. Jonathan Wu:
Facial expression recognition using curvelet based local binary patterns. ICASSP 2010: 2470-2473 - [c2]Ashirbani Saha, Q. M. Jonathan Wu:
Curvelet Entropy for Facial Expression Recognition. PCM (2) 2010: 617-628
2000 – 2009
- 2009
- [c1]Dibyendu Mukherjee, Ashirbani Saha, Pankajkumar Mendapara, Dan Wu, Q. M. Jonathan Wu:
A cost effective probabilistic approach to localization and mapping. EIT 2009: 359-366
Coauthor Index
aka: Qingming Jonathan Wu
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