Inam Ullah
Inam Ullah publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Brain Tumor Detection and Classification.
- World rank
- #1,539,954 of 1,633,909 ranked researchers
- Rank in South Korea
- #35,700 of 38,381
- Works
- 15
- Citations
- 33
- Citations per work
- 2.2
What does Inam Ullah research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Vision and Pattern Recognition23% of their works
- 2Artificial Intelligence16% of their works
- 3Electrical and Electronic Engineering13% of their works
- 4Signal Processing13% of their works
- 5Radiology, Nuclear Medicine and Imaging6% of their works
- 6Information Systems6% of their works
Research topics
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Brain Tumor Detection and Classification
- Speech Recognition and Synthesis
- Target Tracking and Data Fusion in Sensor Networks
- Medical Image Segmentation Techniques
- Face and Expression Recognition
- Generative Adversarial Networks and Image Synthesis
Which keywords describe Inam Ullah's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Medical Image Analysis, Computer-Aided Detection, Feature Extraction, Histopathology Images and Medical Imaging.
- Nonlinear Estimation
- Image Synthesis
- Generative Adversarial Networks
- Dimensionality Reduction
- Brain Tumor
- Acoustic Modeling
- Quantitative Analysis
- Medical Imaging
- Feature Extraction
- Medical Image Analysis
- Machine Learning
- Deep Learning
- Convolutional Neural Networks
- Computer-Aided Detection
- Histopathology Images
- Image Segmentation
- Radiomics
- Active Contours
- Deep Neural Networks
- Face Recognition
- Graph Cuts
- MRI
- Particle Filters
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 23 words, with their numbers
- Deep Learning64 topics
- Machine Learning63 topics
- Convolutional Neural Networks42 topics
- Medical Image Analysis42 topics
- Computer-Aided Detection31 topic
- Feature Extraction32 topics
- Histopathology Images31 topic
- Medical Imaging32 topics
- Image Segmentation22 topics
- Quantitative Analysis21 topic
- Radiomics21 topic
- Acoustic Modeling11 topic
- Active Contours11 topic
- Brain Tumor11 topic
- Deep Neural Networks11 topic
- Dimensionality Reduction11 topic
- Face Recognition11 topic
- Generative Adversarial Networks11 topic
- Graph Cuts11 topic
- Image Synthesis11 topic
- MRI11 topic
- Nonlinear Estimation11 topic
- Particle Filters11 topic
Where does Inam Ullah work?
Inam Ullah's main affiliation in the publication record is Gachon University, South Korea.
How many publications and citations does Inam Ullah have?
Science Explorer counts 15 works and 33 citations for Inam Ullah, ranking #1,539,954 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Other researchers named Inam Ullah
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