Anup K. Sadhu - RankMe

25 papers Misc 2Journal 12Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	Misc	`conf`	Automated RECIST 1.1 Classification in HCC-TACE Patients Using Deep Learning and 26-Connectivity. ICDCIT Rohit Agarwal, Sayoni Bhattacharyya, Rajib Kumar Chatterjee, Anup K. Sadhu, Narayan Murmu, Debashis Nandi
2026	J	`jnl`	MTU-Net: Task-conditioned multi-task learning for joint hematoma classification and segmentation in non-contrast CT. Biomed. Signal Process. Control. Manas Kumar Nag, Anup K. Sadhu, Chandan Kumar, Sandeep Choudhary
2026	Misc	`conf`	UKANETR: A Kansformer-Based Interpretable UNET for Brain Tumor Segmentation. ICDCIT Rajib Kumar Chatterjee, Abhay Kumar Tiwari, Sayoni Bhattacharyya, Rohit Agarwal, Anup K. Sadhu, Debashis Nandi
2024	J	`jnl`	Multi-scale dual-channel feature embedding decoder for biomedical image segmentation. Comput. Methods Programs Biomed. Rohit Agarwal, Palash Ghosal, Anup K. Sadhu, Narayan Murmu, Debashis Nandi
2021	J	`jnl`	Adaptive Local Ternary Pattern on Parameter Optimized-Faster Region Convolutional Neural Network for Pulmonary Emphysema Diagnosis. IEEE Access Sumita Mondal, Anup K. Sadhu, Pranab Kumar Dutta
2021	J	`jnl`	Automated diagnosis of pulmonary emphysema using multi-objective binary thresholding and hybrid classification. Biomed. Signal Process. Control. Sumita Mondal, Anup K. Sadhu, Pranab Kumar Dutta
2020	J	`jnl`	Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review. J. Digit. Imaging Amitava Halder, Debangshu Dey, Anup K. Sadhu
2019	J	`jnl`	A Screening CAD Tool for the Detection of Microcalcification Clusters in Mammograms. J. Digit. Imaging Vikrant Anilrao Karale, Joshua Peter Ebenezer, Jayasree Chakraborty, Tulika Singh, Anup K. Sadhu, Niranjan Khandelwal, Sudipta Mukhopadhyay
2019	J	`jnl`	Computer-assisted delineation of hematoma from CT volume using autoencoder and Chan Vese model. Int. J. Comput. Assist. Radiol. Surg. Manas Kumar Nag, Saunak Chatterjee, Anup K. Sadhu, Jyotirmoy Chatterjee, Nirmalya Ghosh
2019	J	`jnl`	Mammogram segmentation using multi-atlas deformable registration. Comput. Biol. Medicine Manish Kumar Sharma, Mainak Jas, Vikrant Anilrao Karale, Anup K. Sadhu, Sudipta Mukhopadhyay
2018	—	`conf`	Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images. MIUA Sunita Agarwala, Abhishek Kumar, Debashis Nandi, Ashis Kumar Dhara, Anup K. Sadhu, Sumitra Basu Thakur, Ashok Kumar Bhadra
2018	—	`conf`	Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification. Computer-Aided Diagnosis Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty, Anup K. Sadhu, Wasim Arif
2018	—	`conf`	Segmentation of Lung Field in HRCT Images Using U-Net Based Fully Convolutional Networks. MIUA Abhishek Kumar, Sunita Agarwala, Ashis Kumar Dhara, Debashis Nandi, Sumitra Basu Thakur, Ashok Kumar Bhadra, Anup K. Sadhu
2017	—	`conf`	A Computer Vision Approach for Lung Cancer Classification Using FNAC-Based Cytological Images. CVIP (2) Moumita Dholey, Atasi Sarkar, Maitreya Maity, Amita Giri, Anup K. Sadhu, Koel Chaudhury, Soumen Das, Jyotirmoy Chatterjee
2017	—	`conf`	Automated detection of microcalcification clusters in mammograms. Computer-Aided Diagnosis Vikrant Anilrao Karale, Sudipta Mukhopadhyay, Tulika Singh, Niranjan Khandelwal, Anup K. Sadhu
2017	J	`jnl`	Computer-assisted delineation of cerebral infarct from diffusion-weighted MRI using Gaussian mixture model. Int. J. Comput. Assist. Radiol. Surg. Manas Kumar Nag, Subhranil Koley, Debarghya China, Anup K. Sadhu, Ravikanth Balaji, Siddharth Ghosh, Chandan Chakraborty
2016	—	`conf`	Automated in vivo delineation of lumen wall using intravascular ultrasound imaging. EMBC Debarghya China, Manas Kumar Nag, K. M. Mandana, Anup K. Sadhu, Pabitra Mitra, Chandan Chakraborty
2016	—	`conf`	Benign-malignant mass classification in mammogram using edge weighted local texture features. Computer-Aided Diagnosis Rinku Rabidas, Abhishek Midya, Anup K. Sadhu, Jayasree Chakraborty
2016	J	`jnl`	Delineation and diagnosis of brain tumors from post contrast T1-weighted MR images using rough granular computing and random forest. Appl. Soft Comput. Subhranil Koley, Anup K. Sadhu, Pabitra Mitra, Basabi Chakraborty, Chandan Chakraborty
2016	—	`conf`	Multimodal characterization of radiologically detectable lung lesions. EMBC Atasi Sarkar, Anup K. Sadhu, S. Basu Thakur, Sanghamitra Sengupta, Anirban Mukherjee, Jyotirmoy Chatterjee
2015	J	`jnl`	Detection of the nipple in mammograms with Gabor filters and the Radon transform. Biomed. Signal Process. Control. Jayasree Chakraborty, Abhishek Midya, Sudipta Mukhopadhyay, Rangaraj M. Rangayyan, Anup K. Sadhu, Veenu Singla, Niranjan Khandelwal, Pinakpani Bhattacharyya, Paulo M. Azevedo-Marques
2014	—	`conf`	Pixel-based Bayesian classification for meningioma brain tumor detection using post contrast T1-weighted magnetic resonance image. ISSPIT Subhranil Koley, Devkumar Das, Chandan Chakraborty, Anup K. Sadhu
2013	J	`jnl`	A Heuristic Approach to Automated Nipple Detection in Digital Mammograms. J. Digit. Imaging Mainak Jas, Sudipta Mukhopadhyay, Jayasree Chakraborty, Anup K. Sadhu, Niranjan Khandelwal
2013	—	`conf`	Automatic characterization of masses in mammograms. BMEI Jayasree Chakraborty, Abhishek Midya, Sudipta Mukhopadhyay, Anup K. Sadhu
2013	—	`conf`	Automatic localization of the nipple in mammograms using Gabor filters and the Radon transform. Computer-Aided Diagnosis Jayasree Chakraborty, Sudipta Mukhopadhyay, Rangaraj M. Rangayyan, Anup K. Sadhu, Paulo M. Azevedo-Marques