Articles with public access mandates - Anant MadabhushiLearn more
Not available anywhere: 44
Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): distinguishing tumor confounders and molecular subtypes on MRI
P Prasanna, P Tiwari, A Madabhushi
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
Mandates: US National Institutes of Health
Vision transformers for computational histopathology
H Xu, Q Xu, F Cong, J Kang, C Han, Z Liu, A Madabhushi, C Lu
IEEE Reviews in Biomedical Engineering, 2023
Mandates: National Natural Science Foundation of China
A combination of intra-and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint …
M Khorrami, M Alilou, P Prasanna, P Patil, P Velu, K Bera, P Fu, ...
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 191-199, 2019
Mandates: US Department of Defense, US National Institutes of Health
Response estimation through spatially oriented neural network and texture ensemble (RESONATE)
JE Eben, N Braman, A Madabhushi
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Mandates: US Department of Defense, US National Institutes of Health, US Department of …
A comparative analysis of sensitivity of convolutional neural networks for histopathology image classification in breast cancer
F Cano, A Madabhushi, A Cruz-Roa
14th International Symposium on Medical Information Processing and Analysis …, 2018
Mandates: US Department of Defense, US National Institutes of Health
Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach
A Singanamalli, R Sparks, M Rusu, N Shih, A Ziober, J Tomaszewski, ...
Medical Imaging 2013: Digital Pathology 8676, 37-50, 2013
Mandates: US National Institutes of Health
Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer
A Roge, A Hiremath, M Sobota, SH Tirumani, LK Bittencourt, J Ream, ...
Medical imaging 2022: computer-aided diagnosis 12033, 264-273, 2022
Mandates: US Department of Defense, US National Institutes of Health, US Department of …
Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores
R Ding, P Prasanna, G Corredor, C Lu, P Velu, K Le, P Leo, N Beig, ...
Medical Imaging 2020: Digital Pathology 11320, 1132003, 2020
Mandates: US Department of Defense, US National Institutes of Health, US Department of …
Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer
CF Koyuncu, A Janowczyk, C Lu, P Leo, M Alilou, AK Glaser, NP Reder, ...
Medical Imaging 2020: Digital Pathology 11320, 109-116, 2020
Mandates: US National Science Foundation, US Department of Defense, US National …
RADIomic spatial textural descriptor (RADISTAT): Characterizing intra-tumoral heterogeneity for response and outcome prediction
J Antunes, P Prasanna, A Madabhushi, P Tiwari, S Viswanath
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Mandates: US Department of Defense, US National Institutes of Health
Multi-modality registration via multi-scale textural and spectral embedding representations
L Li, M Rusu, S Viswanath, G Penzias, S Pahwa, J Gollamudi, ...
Medical imaging 2016: image processing 9784, 1108-1119, 2016
Mandates: US National Institutes of Health
Multiscale multimodal fusion of histological and MRI volumes for characterization of lung inflammation
M Rusu, H Wang, T Golden, A Gow, A Madabhushi
Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and …, 2013
Mandates: US National Institutes of Health
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI
S Iyer, M Ismail, B Tamrazi, A Margol, R Verma, R Correa, P Prasanna, ...
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 359-364, 2019
Mandates: US Department of Defense, US National Institutes of Health, US Department of …
Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways
N Beig, P Prasanna, V Hill, R Verma, V Varadan, A Madabhushi, P Tiwari
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 330-341, 2019
Mandates: US Department of Defense, US National Institutes of Health
Biopsy and surgical specimen specific deep learning models for prostate cancer detection on digitized pathology images
BT Flannery, P Lal, MD Feldman, M Natalizio, JC Santa-Rosario, ...
Medical Imaging 2023: Digital and Computational Pathology 12471, 107-115, 2023
Mandates: US Department of Defense, US National Institutes of Health, US Department of …
Structural rectal atlas deformation (strad) features for characterizing intra-and peri-wall chemoradiation response on mri
J Antunes, Z Wei, C Alvarez-Jimenez, E Romero, M Ismail, A Madabhushi, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Mandates: US Department of Defense, US National Institutes of Health
Novel Fractal-Based Sub-RPE Compartment OCT Radiomics Biomarkers Are Associated With Subfoveal Geographic Atrophy in Dry AMD
SS Kar, H Cetin, J Abraham, SK Srivastava, J Whitney, A Madabhushi, ...
IEEE Transactions on Biomedical Engineering 70 (10), 2914-2921, 2023
Mandates: US Department of Defense, US National Institutes of Health, US Department of …
Transformer as a spatially-aware multi-instance learning framework to predict the risk of death for early-stage non-small cell lung cancer
Y Zhou, C Koyuncu, G Corredor, X Wang, C Lu, A Madabhushi
Medical Imaging 2023: Digital and Computational Pathology 12471, 207-215, 2023
Mandates: US Department of Defense, US National Institutes of Health, US Department of …
Resolving impact of technical and biological variability on the convolutional neural networks: evaluating chest x-ray scans
D Cherezov, VS Viswanathan, A Gupta, A Madabhushi
Medical Imaging 2023: Image Processing 12464, 805-816, 2023
Mandates: US Department of Defense, US National Institutes of Health, US Department of …
SPARTA: An integrated stability, discriminability, and sparsity based radiomic feature selection approach
AR Sadri, S Azarianpour Esfahani, P Chirra, J Antunes, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Mandates: US Department of Defense, US National Institutes of Health
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