Fahim Irfan Alam

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 10

Top Topics

Top Venues

Biomed. Signal Process. Control.

Publications

Muhammad Sakib Khan Inan, Fahim Irfan Alam, Rizwan Hasan
Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images. Biomed. Signal Process. Control. 75 (2022)
Muhammad Sakib Khan Inan, Rizwan Hasan, Fahim Irfan Alam
A Hybrid Probabilistic Ensemble based Extreme Gradient Boosting Approach For Breast Cancer Diagnosis. CCWC (2021)
Muhammad Sakib Khan Inan, Fahim Irfan Alam, Rizwan Hasan
Deep Integrated Pipeline of Segmentation Leading to Classification for Automated Detection of Breast Cancer from Breast Ultrasound Images. CoRR (2021)
Muhammad Sakib Khan Inan, Rubaiath E. Ulfath, Fahim Irfan Alam, Fateha Khanam Bappee, Rizwan Hasan
Improved Sampling and Feature Selection to Support Extreme Gradient Boosting For PCOS Diagnosis. CCWC (2021)
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew
Abundance-Guided Superpixels and Recurrent Neural Network for Hyperspectral Image Classification. DICTA (2019)
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57 (3) (2019)
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Jun Jo, Yongsheng Gao
Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification. WHISPERS (2018)
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation. CoRR (2017)
Fahim Irfan Alam, Jun Zhou, Lei Tong, Alan Wee-Chung Liew, Yongsheng Gao
Combining Unmixing and Deep Feature Learning for Hyperspectral Image Classification. DICTA (2017)
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia
CRF learning with CNN features for hyperspectral image segmentation. IGARSS (2016)
Iker Gondra, Fahim Irfan Alam
Learning spatial relations for object-specific segmentation using Bayesian network model. Signal Image Video Process. 8 (8) (2014)
Fahim Irfan Alam, Muhammad Iqbal Hasan Chowdhury, Md. Reza Rabbani
A Prediction Model to Support a MultilayerNetwork-based Universal Electronic CashTransaction Framework. Smart Comput. Rev. 3 (4) (2013)
Iker Gondra, Fahim Irfan Alam
Learning-Based Object Segmentation Using Regional Spatial Templates and Visual Features. ICCVG (2012)
Fahim Irfan Alam, Iker Gondra
Incorporating shape into spatially-aware adaptive object segmentation algorithm. C3S2E (2012)
Fahim Irfan Alam, Iker Gondra
A Bayesian network-based tunable image segmentation algorithm for object recognition. ISSPIT (2011)