A hybrid preprocessing method using geometry based diffusion and elective enhancement filtering for pulmonary nodule detection. - Ashis Kumar Dhara; Sudipta Mukhopadhyay (Computer-Aided Diagnosis, 2012)

Automated lung field segmentation in CT images using mean shift clustering and geometrical features. - Chanukya Krishna Chama; Sudipta Mukhopadhyay; Prabir Kumar Biswas; Ashis Kumar Dhara; Mahendra Kasuvinahally Madaiah; Niranjan Khandelwal (Computer-Aided Diagnosis, 2013)

Measurement of spiculation index in 3D for solitary pulmonary nodules in volumetric lung CT images. - Ashis Kumar Dhara; Sudipta Mukhopadhyay; Naved Alam; Niranjan Khandelwal (Computer-Aided Diagnosis, 2013)

3D texture analysis of solitary pulmonary nodules using co-occurrence matrix from volumetric lung CT images. - Ashis Kumar Dhara; Sudipta Mukhopadhyay; Niranjan Khandelwal (Computer-Aided Diagnosis, 2013)

Detection of Blood Vessels in Retinal Fundus Images. - Faraz Oloumi; Ashis K. Dhara; Rangaraj M. Rangayyan; Sudipta Mukhopadhyay (Comput. Sci. J. Moldova, 2014)

Development of a screening tool for staging of diabetic retinopathy in fundus images. - Ashis Kumar Dhara; Sudipta Mukhopadhyay; Mayur Joseph Bency; Rangaraj M. Rangayyan; Reema Bansal; Amod Gupta (Computer-Aided Diagnosis, 2015)

Classification of pulmonary nodules in lung CT images using shape and texture features. - Ashis Kumar Dhara; Sudipta Mukhopadhyay; Anirvan Dutta; Mandeep Garg; Niranjan Khandelwal; Prafulla Kumar (Computer-Aided Diagnosis, 2016)

An automated lung nodule detection system for CT images using synthetic minority oversampling. - Shrikant A. Mehre; Sudipta Mukhopadhyay; Anirvan Dutta; Nagam Chaithan Harsha; Ashis Kumar Dhara; Niranjan Khandelwal (Computer-Aided Diagnosis, 2016)

Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images. - Ashis K. Dhara; Sudipta Mukhopadhyay; Pramit Saha; Mandeep Garg; Niranjan Khandelwal (Int. J. Comput. Assist. Radiol. Surg., 2016)

Quantitative evaluation of margin sharpness of pulmonary nodules in lung CT images. - Ashis Kumar Dhara; Sudipta Mukhopadhyay; Satrajit Chakrabarty; Mandeep Garg; Niranjan Khandelwal (IET Image Process., 2016)

A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images. - Ashis Kumar Dhara; Sudipta Mukhopadhyay; Anirvan Dutta; Mandeep Garg; Niranjan Khandelwal (J. Digit. Imaging, 2016)

Erratum to: A Segmentation Framework of Pulmonary Nodules in Lung CT Images. - Ashis K. Dhara; Sudipta Mukhopadhyay; Rahul Das Gupta; Mandeep Garg; Niranjan Khandelwal (J. Digit. Imaging, 2016)

A study of retrieval accuracy of pulmonary nodules based on external attachment. - Ashis Kumar Dhara; Sudipta Mukhopadhyay; Shrikant A. Mehre; Niranjan Khandelwal; Nidhi Prabhakar; Mandeep Garg; Naveen Kalra (Computer-Aided Diagnosis, 2017)

Content-Based Image Retrieval System for Pulmonary Nodules: Assisting Radiologists in Self-Learning and Diagnosis of Lung Cancer. - Ashis Kumar Dhara; Sudipta Mukhopadhyay; Anirvan Dutta; Mandeep Garg; Niranjan Khandelwal (J. Digit. Imaging, 2017)

Interactive Segmentation of Glioblastoma for Post-surgical Treatment Follow-up. - Ashis Kumar Dhara; Erik Arvids; Markus Fahlström; Johan Wikström; Elna-Marie Larsson; Robin Strand (ICPR, 2018)

Localization of lung fields in HRCT images using a deep convolution neural network. - Abhishek Kumar; Sunita Agarwala; Ashis Kumar Dhara; Debashis Nandi; Sudipta Mukhopadhyay; Mandeep Garg; Niranjan Khandelwal; Naveen Kalra (Computer-Aided Diagnosis, 2018)

Segmentation of Post-operative Glioblastoma in MRI by U-Net with Patient-Specific Interactive Refinement. - Ashis Kumar Dhara; Kalyan Ram Ayyalasomayajula; Erik Arvids; Markus Fahlström; Johan Wikström; Elna-Marie Larsson; Robin Strand (BrainLes@MICCAI (1), 2018)

Optic Disc Segmentation in Retinal Fundus Images Using Fully Convolutional Network and Removal of False-Positives Based on Shape Features. - Sandip Sadhukhan; Goutam Kumar Ghorai; Souvik Maiti; Vikrant Anilrao Karale; Gautam Sarkar; Ashis Kumar Dhara (DLMIA/ML-CDS@MICCAI, 2018)

Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images. - Sunita Agarwala; Abhishek Kumar; Debashis Nandi; Ashis Kumar Dhara; Anup K. Sadhu; Sumitra Basu Thakur; Ashok Kumar Bhadra (MIUA, 2018)

Segmentation of Lung Field in HRCT Images Using U-Net Based Fully Convolutional Networks. - Abhishek Kumar; Sunita Agarwala; Ashis Kumar Dhara; Debashis Nandi; Sumitra Basu Thakur; Ashok Kumar Bhadra; Anup K. Sadhu (MIUA, 2018)

Content-Based Image Retrieval System for Pulmonary Nodules Using Optimal Feature Sets and Class Membership-Based Retrieval. - Shrikant A. Mehre; Ashis Kumar Dhara; Mandeep Garg; Naveen Kalra; Niranjan Khandelwal; Sudipta Mukhopadhyay (J. Digit. Imaging, 2019)

Segmentation of Intracranial Aneurysm Remnant in MRA using Dual-Attention Atrous Net. - Subhashis Banerjee; Ashis Kumar Dhara; Johan Wikström; Robin Strand (ICPR, 2020)

Topology-Aware Learning for Volumetric Cerebrovascular Segmentation. - Subhashis Banerjee; Dimitrios Toumpanakis; Ashis Kumar Dhara; Johan Wikström; Robin Strand (ISBI, 2022)

Automatic detection and segmentation of optic disc using a modified convolution network. - Souvik Maiti; Debasis Maji; Ashis Kumar Dhara; Gautam Sarkar (Biomed. Signal Process. Control., 2022)

Automatic grading of retinal blood vessel tortuosity using Modified CNN in deep retinal image diagnosis. - Debasis Maji; Souvik Maiti; Ashis Kumar Dhara; Gautam Sarkar (Biomed. Signal Process. Control., 2022)

Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives. - Swagata Kundu; Vikrant Anilrao Karale; Goutam Kumar Ghorai; Gautam Sarkar; Sambuddha Ghosh; Ashis Kumar Dhara (J. Digit. Imaging, 2022)

Deep curriculum learning for follow-up MRI registration in glioblastoma. - Subhashis Banerjee; Dimitrios Toumpanakis; Ashis Kumar Dhara; Johan Wikström; Robin Strand (Image Processing, 2023)

3-D Attention-SEV-Net for Segmentation of Post-operative Glioblastoma with Interactive Correction of Over-Segmentation. - Swagata Kundu; Subhashis Banerjee; Dimitrios Toumpanakis; Johan Wikström; Robin Strand; Ashis Kumar Dhara (PReMI, 2023)

CAST: Channel Aware Swin Transformers for Post-operative Glioblastoma Segmentation. - Swagata Kundu; Dimitrios Toumpanakis; Johan Wikström; Robin Strand; Ashis Kumar Dhara (ICPR (Workshops and Challenges, 5), 2024)

Context-Aware Preprocessing Method for Reduction of Volume of Interest Towards Quantification of Pre and Post-treatment Intracranial Aneurysms in MRA. - Subhash Chandra Pal; Dimitrios Toumpanakis; Johan Wikström; Chirag Kamal Ahuja; Robin Strand; Ashis Kumar Dhara (ICPR (Workshops and Challenges, 5), 2024)

CAAT-Class Attention Augmented Transformers for Quantification of Post-Operative Glioblastoma with Follow-Up. - Swagata Kundu; Dimitrios Toumpanakis; Johan Wikström; Robin Strand; Ashis Kumar Dhara (ISBI, 2024)

Design of a Portable and Non-Invasive Hemoglobin Measuring Device. - Riya Maiti; Srijita Saha; Kriti Shrivastava; Kousik Midya; Arnab Chattopadhyay; Ashis Kumar Dhara (iSES, 2024)

Atten-SEVNETR for volumetric segmentation of glioblastoma and interactive refinement to limit over-segmentation. - Swagata Kundu; Dimitrios Toumpanakis; Johan Wikström; Robin Strand; Ashis Kumar Dhara (IET Image Process., 2024)

ASE-Net for Segmentation of Post-Operative Glioblastoma and Patient-Specific Fine-Tuning for Segmentation Refinement of Follow-Up MRI Scans. - Swagata Kundu; Subhashis Banerjee; Eva Breznik; Dimitrios Toumpanakis; Johan Wikström; Robin Strand; Ashis Kumar Dhara (SN Comput. Sci., 2024)

An attention enriched encoder-decoder architecture with CLSTM and RES unit for segmenting exudate in retinal images. - Souvik Maiti; Debasis Maji; Ashis Kumar Dhara; Gautam Sarkar (Signal Image Video Process., 2024)