-
"Active Prompting of Vision Language Models for Human-in-the-loop Classification and Explanation of Microscopy Images"
2024 ▪
-
"Anonymized Identity Tracking: Privacy Preserving Facial Encoding"
2024 ▪
-
"Synergizing Deep Learning-Enabled Preprocessing and Human–AI Integration for Efficient Automatic Ground Truth Generation"
2024 ▪
Bioengineering
-
"Evaluating clinical and radiomic features for predicting lung cancer recurrence pre- and post-tumor resection"
2024 ▪
-
"A novel deep learning-based method for automatic stereology of microglia cells from low magnification images"
2024 ▪
Neurotoxicology and Teratology
Lawrence Hall;
Dmitry Goldgof;
Saeed Alahmari;
Peter R. Mouton;
Palak Dave;
Yaroslav Kolinko;
Hunter Morera;
Aidan Anderson;
Grant Denham;
Chloe Davis;
Juan Riano;
G Jean Harry;
-
"Applications of Automatic Unbiased Stereology to Neural Tissue"
2024 ▪
Neuromethods
-
"Comparison of Methods for Counting Neurons and Neuron Profiles in Brain Sections"
2024 ▪
Neuromethods
Lawrence Hall;
Dmitry Goldgof;
Saeed Alahmari;
Peter R. Mouton;
Grant Denham;
Aiden S. Anderson;
Krystal B. Sanchez;
Dominick Dag;
Paula A. Delgado;
-
"Repeatability of Fine-tuning Large Language Models Illustrated Using QLoRA"
2024 ▪
IEEE Access
-
"COMPARISON OF STEREOLOGY METHODS FOR ASSESSING AGE-RELATED EFFECTS ON IMMUNOSTAINED BRAIN CELLS"
2023 ▪
Innovation in Aging
-
"MIMO YOLO - A Multiple Input Multiple Output Model for Automatic Cell Counting"
2023 ▪
-
"Unsupervised Prostate Cancer Histopathology Image Segmentation via Meta-Learning"
2023 ▪
-
"Classifying Malignancy in Prostate Glandular Structures from Biopsy Scans with Deep Learning"
2023 ▪
Cancers
-
"MIMO U-Net: efficient cell segmentation and counting in microscopy image sequences"
2023 ▪
-
"A Review of Nuclei Detection and Segmentation on Microscopy Images Using Deep Learning With Applications to Unbiased Stereology Counting"
2022 ▪
IEEE Transactions on Neural Networks and Learning Systems
-
"S1559 Reduction of Video Capsule Endoscopy Reading Times Using Artificial Intelligence"
2022 ▪
The American Journal of Gastroenterology
-
"Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data"
2022 ▪
Algorithms
Lawrence Hall;
Dmitry Goldgof;
Hunter Morera;
Roshan Warman;
Azubuogu Anudu;
Chukwudumebi Uche;
Ivana Radosavljevic;
Nikhil Reddy;
Ahan Kayastha;
Niharika Baviriseaty;
Rahul Mhaskar;
Andrew A. Borkowski;
Patrick Brady;
Satish Singh;
Gerard Mullin;
Jose Lezama;
Gitanjali Vidyarthi;
-
"A disector-based framework for the automatic optical fractionator"
2022 ▪
Journal of Chemical Neuroanatomy
-
"Classification of global microglia proliferation based on deep learning with local images"
2022 ▪
Medical Imaging 2022: Image Processing
-
"Survival time prediction from unannotated lung cancer histopathology images"
2022 ▪
-
"Ensembles of Convolutional Neural Networks for Survival Time Estimation of High-Grade Glioma Patients from Multimodal MRI"
2022 ▪
Diagnostics
-
"Achieving Multisite Generalization for CNN-Based Disease Diagnosis Models by Mitigating Shortcut Learning"
2022 ▪
IEEE Access
-
"A Radiogenomics Ensemble to Predict EGFR and KRAS Mutations in NSCLC"
2021 ▪
Tomography
-
"An adaptive digital stain separation method for deep learning-based automatic cell profile counts"
2021 ▪
Journal of Neuroscience Methods
-
"Deep radiomics: deep learning on radiomics texture images"
2021 ▪
-
"Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification"
2021 ▪
IEEE Access
-
"Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future"
2020 ▪
Computers in Biology and Medicine
-
"Deep Feature Stability Analysis Using CT Images of a Physical Phantom across Scanner Manufacturers, Cartridges, Pixel Sizes, and Slice Thickness"
2020 ▪
Tomography
-
"Lung Nodule Sizes Are Encoded When Scaling CT Image for CNN's"
2020 ▪
Tomography
-
"Hybrid models for lung nodule malignancy prediction utilizing convolutional neural network ensembles and clinical data"
2020 ▪
Journal of Medical Imaging
-
"Mitigating Adversarial Attacks on Medical Image Understanding Systems"
2020 ▪
-
"Challenges for the Repeatability of Deep Learning Models"
2020 ▪
IEEE Access
-
"NOVEL STAIN SEPARATION METHOD FOR AUTOMATIC STEREOLOGY OF IMMUNOSTAINED TISSUE SECTIONS"
2019 ▪
Innovation in Aging
-
"Automatic Cell Counting using Active Deep Learning and Unbiased Stereology"
2019 ▪
-
"Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data"
2019 ▪
-
"Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness"
2019 ▪
Scientific Reports
-
"Automatic ground truth for deep learning stereology of immunostained neurons and microglia in mouse neocortex"
2019 ▪
Journal of Chemical Neuroanatomy
-
"Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative Features"
2019 ▪
Tomography
-
"Automatic stereology of mean nuclear size of neurons using an active contour framework"
2019 ▪
Journal of Chemical Neuroanatomy
-
"Automated Cell Counts on Tissue Sections by Deep Learning and Unbiased Stereology"
2018 ▪
Journal of Chemical Neuroanatomy
-
"Delta radiomic features improve prediction for lung cancer incidence: A nested case–control analysis of the National Lung Screening Trial"
2018 ▪
Cancer Medicine
Lawrence Hall;
Matthew Schabath;
Dmitry Goldgof;
Yoganand Balagurunathan;
Robert J. Gillies;
Samuel H. Hawkins;
Qian Li;
Dmitry Cherezov;
Ying Liu;
-
"Iterative Deep Learning Based Unbiased Stereology with Human-in-the-Loop"
2018 ▪
-
"Predicting Nodule Malignancy using a CNN Ensemble Approach"
2018 ▪
-
"Representation of Deep Features using Radiologist defined Semantic Features"
2018 ▪
-
"Predicting malignant nodules by fusing deep features with classical radiomics features"
2018 ▪
Journal of Medical Imaging
-
"Stability of deep features across CT scanners and field of view using a physical phantom"
2018 ▪
Medical Imaging 2018: Computer-Aided Diagnosis
-
"Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening"
2018 ▪
IEEE Access
-
"Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches"
2017 ▪
American Journal of Neuroradiology
Lawrence Hall;
Dmitry Goldgof;
Robert A. Gatenby;
Robert J. Gillies;
Mu Zhou;
J. Scott;
Baishali Chaudhury;
K.W. Yeom;
M. Iv;
Y. Ou;
J. Kalpathy-Cramer;
Sandy Napel;
O. Gevaert;
-
"Finding label noise examples in large scale datasets"
2017 ▪
-
"Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction"
2017 ▪
-
"A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images"
2017 ▪
Computerized Medical Imaging and Graphics
-
"Fine-tuning convolutional deep features for MRI based brain tumor classification"
2017 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"P1.03-063 Quantitative Imaging Features Predict Incidence Lung Cancer in Low-Dose Computed Tomography (LDCT) Screening"
2017 ▪
Journal of Thoracic Oncology
-
"Unbiased estimation of cell number using the automatic optical fractionator"
2016 ▪
Journal of Chemical Neuroanatomy
-
"A quantitative histogram-based approach to predict treatment outcome for Soft Tissue Sarcomas using pre- and post-treatment MRIs"
2016 ▪
-
"Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT"
2016 ▪
-
"Improving malignancy prediction through feature selection informed by nodule size ranges in NLST"
2016 ▪
-
"Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction"
2016 ▪
Journal of Magnetic Resonance Imaging
-
"Automatic quantification and classification of cervical cancer via Adaptive Nucleus Shape Modeling"
2016 ▪
-
"Predicting Malignant Nodules from Screening CT Scans"
2016 ▪
Journal of Thoracic Oncology
Lawrence Hall;
Matthew Schabath;
Dmitry Goldgof;
Yoganand Balagurunathan;
Robert A. Gatenby;
Robert J. Gillies;
Hua Wang;
Samuel H. Hawkins;
Ying Liu;
Alberto Garcia;
Olya Stringfield;
Henry Krewer;
Qian Li;
Dmitry Cherezov;
-
"Exploring deep features from brain tumor magnetic resonance images via transfer learning"
2016 ▪
-
"A new approach to detect and segment overlapping cells in multi-layer cervical cell volume images"
2016 ▪
-
"Change descriptors for determining nodule malignancy in national lung screening trial CT screening images"
2016 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Classification of progression free survival with nasopharyngeal carcinoma tumors"
2016 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats"
2016 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
Lawrence Hall;
Dmitry Goldgof;
Robert A. Gatenby;
Robert J. Gillies;
Mu Zhou;
Baishali Chaudhury;
Robert J. Weinfurtner;
Jennifer S. Drukteinis;
Hamidreza Farhidzadeh;
-
"Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development"
2016 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Nucleus segmentation in histology images with hierarchical multilevel thresholding"
2016 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Diagnostic and predictive quantitative-imaging features in lung cancer screening"
2016 ▪
Journal of Thoracic Oncology
Lawrence Hall;
Matthew Schabath;
Dmitry Goldgof;
Yoganand Balagurunathan;
Robert J. Gillies;
Ying Liu;
Alberto Garcia;
Olya Stringfield;
Hua Wang;
-
"Active cleaning of label noise"
2015 ▪
Pattern Recognition
-
"A Robust Approach for Automated Lung Segmentation in Thoracic CT"
2015 ▪
-
"Correlation Based Random Subspace Ensembles for Predicting Number of Axillary Lymph Node Metastases in Breast DCE-MRI Tumors"
2015 ▪
-
"Texture Feature Analysis to Predict Metastatic and Necrotic Soft Tissue Sarcomas"
2015 ▪
-
"Heterogeneity in intratumoral regions with rapid gadolinium washout correlates with estrogen receptor status and nodal metastasis"
2015 ▪
Journal of Magnetic Resonance Imaging
Lawrence Hall;
Dmitry Goldgof;
Robert A. Gatenby;
Robert J. Gillies;
Mu Zhou;
Baishali Chaudhury;
Bhavika K. Patel;
Robert J. Weinfurtner;
Jennifer S. Drukteinis;
-
"Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI"
2015 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI"
2015 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Imbalanced learning for clinical survival group prediction of brain tumor patients"
2015 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats"
2015 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Abstract 4188: Evolutionary dynamics in breast cancer via MRI textural kinetic analysis"
2014 ▪
Cancer Research
-
"Experiments with large ensembles for segmentation and classification of cervical cancer biopsy images"
2014 ▪
-
"Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction"
2014 ▪
-
"Exploring Brain Tumor Heterogeneity for Survival Time Prediction"
2014 ▪
-
"Test–Retest Reproducibility Analysis of Lung CT Image Features"
2014 ▪
Journal of Digital Imaging
Lawrence Hall;
Virendra Kumar;
Yuhua Gu;
Satrajit Basu;
Steven Eschrich;
Dmitry Goldgof;
Yoganand Balagurunathan;
Robert A. Gatenby;
Robert J. Gillies;
Jongphil Kim;
Ying Liu;
Hua Wang;
Rene Korn;
Binsheng Zhao;
Lawrence H. Schwartz;
-
"Prediction of treatment response and metastatic disease in soft tissue sarcoma"
2014 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis"
2014 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Radiologically Defined Ecological Dynamics and Clinical Outcomes in Glioblastoma Multiforme: Preliminary Results"
2014 ▪
Translational Oncology
-
"Reproducibility and Prognosis of Quantitative Features Extracted from CT Images"
2014 ▪
Translational Oncology
Lawrence Hall;
Virendra Kumar;
Yuhua Gu;
Dmitry Goldgof;
Yoganand Balagurunathan;
Robert A. Gatenby;
Robert J. Gillies;
Hua Wang;
Olya Grove;
Sam Hawkins;
Jongphil Kim;
-
"Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features"
2014 ▪
IEEE Access
Lawrence Hall;
Virendra Kumar;
Satrajit Basu;
Dmitry Goldgof;
Yoganand Balagurunathan;
Robert A. Gatenby;
Robert J. Gillies;
Samuel H. Hawkins;
Yuhua Gu;
John N. Korecki;
-
"A Texture Feature Ranking Model for Predicting Survival Time of Brain Tumor Patients"
2013 ▪
-
"Effect of Texture Features in Computer Aided Diagnosis of Pulmonary Nodules in Low-Dose Computed Tomography"
2013 ▪
-
"Survival time prediction of patients with glioblastoma multiforme tumors using spatial distance measurement"
2013 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"An Ensemble Algorithm Framework for Automated Stereology of Cervical Cancer"
2013 ▪
Lecture notes in computer science
-
"Label-noise reduction with support vector machines"
2012 ▪
-
"Automatic section thickness determination using an absolute gradient focus function"
2012 ▪
Journal of Microscopy
-
"Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach"
2012 ▪
Pattern Recognition
Lawrence Hall;
Virendra Kumar;
Hugo J.W.L. Aerts;
Andre Dekker;
Dmitry Goldgof;
Philippe Lambin;
Robert A. Gatenby;
Robert J. Gillies;
Rene Korn;
Yuhua Gu;
Ching-Yen Li;
Claus Bendtsen;
Emmanuel Rios Velazquez;
Xiuli Li;
Jie Tian;
-
"Radiomics: the process and the challenges"
2012 ▪
Magnetic Resonance Imaging
Lawrence Hall;
Virendra Kumar;
Yuhua Gu;
Satrajit Basu;
Anders Berglund;
Steven Eschrich;
Matthew Schabath;
Kenneth Forster;
Hugo J.W.L. Aerts;
Andre Dekker;
David Fenstermacher;
Dmitry Goldgof;
Philippe Lambin;
Yoganand Balagurunathan;
Robert A. Gatenby;
Robert J. Gillies;
-
"ITERATIVE FEATURE PERTURBATION AS A GENE SELECTOR FOR MICROARRAY DATA"
2012 ▪
International Journal of Pattern Recognition and Artificial Intelligence
-
"A novel algorithm for automated counting of stained cells on thick tissue sections"
2012 ▪
-
"Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform"
2011 ▪
-
"Abstract ED01-02: Imaging ‘omics in cancer detection"
2011 ▪
Cancer Prevention Research
Lawrence Hall;
Virendra Kumar;
Yuhua Gu;
Steven Eschrich;
Robert A. Gatenby;
Robert J. Gillies;
Jongphil Kim;
Dmitry Goldgof;
Melvyn Tockman;
Satarajit Basu;
Jhanelle Gray;
Dansheng Song;
-
"Developing a classifier model for lung tumors in CT-scan images"
2011 ▪
-
"Procedure for stability analysis of gene selection from cross-site gene expression data"
2011 ▪
-
"Convergence of the Single-Pass and Online Fuzzy C-Means Algorithms"
2011 ▪
IEEE Transactions on Fuzzy Systems
-
"Increased classification accuracy and speedup through pair-wise feature selection for support vector machines"
2011 ▪
-
"Automatic location of microscopic focal planes for computerized stereology"
2011 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Toward automated quantification of biological microstructures using unbiased stereology"
2011 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Evaluating scalable fuzzy clustering"
2010 ▪
-
"Filtering for improved gene selection on microarray data"
2010 ▪
-
"On convergence properties of the singlepass and online fuzzy c-means algorithm"
2010 ▪
-
"Scaling Fuzzy Models"
2010 ▪
IGI Global eBooks
-
"Complications in using automated methods to increase clinical trial accrual"
2010 ▪
International Journal of Biomedical Engineering and Technology
-
"Automatic red tide detection from MODIS satellite images"
2009 ▪
-
"Fast Support Vector Machines for Continuous Data"
2009 ▪
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
-
"Ant Clustering Using Ensembles of Partitions"
2009 ▪
Lecture notes in computer science
-
"A scalable framework for cluster ensembles"
2008 ▪
Pattern Recognition
-
"A Scalable Framework For Segmenting Magnetic Resonance Images"
2008 ▪
Journal of Signal Processing Systems
-
"A fuzzy c means variant for clustering evolving data streams"
2007 ▪
-
"Clinical deployment of a medical expert system to increase accruals for clinical trials: Challenges"
2007 ▪
-
"Noise-Based Feature Perturbation as a Selection Method for Microarray Data"
2007 ▪
Springer eBooks
-
"Creating Streaming Iterative Soft Clustering Algorithms"
2007 ▪
-
"Single Pass Fuzzy C Means"
2007 ▪
Proceedings of ... IEEE International Conference on Fuzzy Systems
-
"Horizon Detection Using Machine Learning Techniques"
2006 ▪
-
"A Cluster Ensemble Framework for Large Data sets"
2006 ▪
-
"A constrained genetic approach for computing material property of elastic objects"
2006 ▪
IEEE Transactions on Evolutionary Computation
-
"Sequence Tolerant Segmentation System of Brain MRI"
2006 ▪
-
"Bit Reduction Support Vector Machine"
2006 ▪
-
"Mining for Implications in Medical Data"
2006 ▪
-
"Active Learning to Recognize Multiple Types of Plankton"
2005 ▪
Journal of Machine Learning Research
-
"Knowledge acquisition for clinical-trial selection"
2005 ▪
-
"Errata to “Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder”"
2004 ▪
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
-
"Active learning to recognize multiple types of plankton"
2004 ▪
Deleted Journal
-
"Improving Breast Cancer Research Through Automated Matching of Patients to Clinical Trials"
2004 ▪
-
"Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder"
2004 ▪
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
-
"Using probabilistic methods to optimize data entry in accrual of patients to clinical trials"
2004 ▪
Computer-Based Medical Systems
-
"Learning to recognize plankton"
2004 ▪
-
"Selection of patients for clinical trials: an interactive web-based system"
2004 ▪
Artificial Intelligence in Medicine
-
"An expert system for evaluating risk in type-1 diabetes"
2004 ▪
-
"Experiments on the automated selection of patients for clinical trials"
2004 ▪
-
"Active learning to recognize multiple types of plankton"
2004 ▪
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.
-
"A constrained genetic approach for reconstructing Young's modulus of elastic objects from boundary displacement measurements"
2003 ▪
-
"Fast accurate fuzzy clustering through data reduction"
2003 ▪
IEEE Transactions on Fuzzy Systems
-
"Knowledge based (re-)clustering"
2002 ▪
-
"Fast clustering with application to fuzzy rule generation"
2002 ▪
-
"Finding green river in SeaWiFS satellite images"
2002 ▪
-
"A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms"
2002 ▪
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
-
"Development of Automated Image Analysis Software for Suspended Marine Particle Classification"
2002 ▪
-
"Improved Breast Cancer Research Through Automated Matching of Patients to Clinical Trials"
2002 ▪
-
"Improving Breast Cancer Research Through Automated Matching of Patients to Clinical Trials"
2001 ▪
-
"Automatic segmentation of non-enhancing brain tumors in magnetic resonance images"
2001 ▪
Artificial Intelligence in Medicine
-
"KNOWLEDGE-GUIDED CLASSIFICATION OF COASTAL ZONE COLOR IMAGES OFF THE WEST FLORIDA SHELF"
2000 ▪
International Journal of Pattern Recognition and Artificial Intelligence
-
"<title>Automatic brain tumor segmentation</title>"
1998 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Segmenting nonenhancing brain tumors from normal tissues in magnetic resonance images"
1998 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"A Qualitative Expert System for Clinical Trial Assignment"
1998 ▪
The Florida AI Research Society
-
"Automatic tumor segmentation using knowledge-based techniques"
1998 ▪
IEEE Transactions on Medical Imaging
-
"Fast fuzzy clustering"
1998 ▪
Fuzzy Sets and Systems
-
"Knowledge-guided processing of magnetic resonance images of the brain"
1998 ▪
-
"Medical image analysis with fuzzy models"
1997 ▪
Statistical Methods in Medical Research
-
"Using fuzzy information in knowledge guided segmentation of brain tumors"
1997 ▪
Lecture notes in computer science
-
"MRI segmentation using fuzzy clustering techniques"
1994 ▪
IEEE Engineering in Medicine and Biology Magazine
-
"<title>Knowledge-based classification and tissue labeling of magnetic resonance images of human brain</title>"
1993 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"TOWARDS AUTOMATIC CLASSIFICATION AND TISSUE LABELING OF MR BRAIN IMAGES"
1993 ▪
Series in machine perception and artificial intelligence
-
"Knowledge-based classification and tissue labeling of MR images of human brain"
1993 ▪
IEEE Transactions on Medical Imaging