Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Classification of the estrous cycle through texture and shape features
Determination of the estrous cycle phases of rats: some helpful considerations
A newly developed visual method of sexing the os pubis
Conveying shape with texture: experimental investigations of texture's effects on shape categorization judgments
Gender classification from hand shape
shape and texture features for the identification of breast cancer .
Leaf Classification Using Shape, Color, and Texture Features
Computer Assisted Detection of Polycystic Ovary Morphology in Ultrasound Images
A revised method of sexing the human innominate using Phenice's nonmetric traits and statistical methods
Textural Features for Image Classification
Show me your body: Gender classification from still images
Automated pollen identification using microscopic imaging and texture analysis
Automated karyotyping of metaphase chromosome images based on texture features
Automatic bird species detection using periodicity of salient extremities
Gender Classification Based on Fusion of Different Spatial Scale Features Selected by Mutual Information From Histogram of LBP, Intensity, and Shape
Cat head detection - how to effectively exploit shape and texture features
Content Based Image Retrieval Using Color, Texture and Shape Features
Lacunarity Analysis on Image Patterns for Texture Classification
Gender Classification Based on Geometry Features of Palm Image
A Comparative Study on Feature Extraction using Texture and Shape for Content Based Image Retrieval
Performing Vaginal Lavage, Crystal Violet Staining, and Vaginal Cytological Evaluation for Mouse Estrous Cycle Staging Identification
PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data
Relationship-based approach to leadership: Development of leader-member exchange (LMX) theory of leadership over 25 years: Applying a multi-level multi-domain perspective
An Edge Computing Framework for Real-Time Monitoring in Smart Grid
NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search
Teaching the Principles of Massive MIMO: Exploring reciprocity-based multiuser MIMO beamforming using acoustic waves