| A combination of shape and texture features for classification of pulmonary nodules in lung CT images AK Dhara, S Mukhopadhyay, A Dutta, M Garg, N Khandelwal Journal of digital imaging 29, 466-475, 2016 | 226 | 2016 |
| A segmentation framework of pulmonary nodules in lung CT images S Mukhopadhyay Journal of digital imaging 29, 86-103, 2016 | 95 | 2016 |
| Performance metrics for image contrast AK Tripathi, S Mukhopadhyay, AK Dhara 2011 International Conference on Image Information Processing, 1-4, 2011 | 86 | 2011 |
| Content-based image retrieval system for pulmonary nodules: assisting radiologists in self-learning and diagnosis of lung cancer AK Dhara, S Mukhopadhyay, A Dutta, M Garg, N Khandelwal Journal of digital imaging 30, 63-77, 2017 | 62 | 2017 |
| Computer-aided detection and analysis of pulmonary nodule from CT images: a survey AK Dhara, S Mukhopadhyay, N Khandelwal IETE Technical Review 29 (4), 265-275, 2012 | 59 | 2012 |
| Deep learning for screening of interstitial lung disease patterns in high-resolution CT images S Agarwala, M Kale, D Kumar, R Swaroop, A Kumar, AK Dhara, ... Clinical radiology 75 (6), 481. e1-481. e8, 2020 | 37 | 2020 |
| Dissecting multi drug resistance in head and neck cancer cells using multicellular tumor spheroids M Azharuddin, K Roberg, AK Dhara, MV Jain, P Darcy, J Hinkula, ... Scientific Reports 9 (1), 20066, 2019 | 32 | 2019 |
| Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images AK Dhara, S Mukhopadhyay, P Saha, M Garg, N Khandelwal International journal of computer assisted radiology and surgery 11, 337-349, 2016 | 30 | 2016 |
| 3D texture analysis of solitary pulmonary nodules using co-occurrence matrix from volumetric lung CT images AK Dhara, S Mukhopadhyay, N Khandelwal Medical Imaging 2013: Computer-Aided Diagnosis 8670, 850-855, 2013 | 23 | 2013 |
| Automated lung field segmentation in CT images using mean shift clustering and geometrical features CK Chama, S Mukhopadhyay, PK Biswas, AK Dhara, MK Madaiah, ... Medical Imaging 2013: Computer-Aided Diagnosis 8670, 790-799, 2013 | 18 | 2013 |
| Nested U-Net for segmentation of red lesions in retinal fundus images and sub-image classification for removal of false positives S Kundu, V Karale, G Ghorai, G Sarkar, S Ghosh, AK Dhara Journal of Digital Imaging 35 (5), 1111-1119, 2022 | 15 | 2022 |
| Detection of red lesions in retinal fundus images using YOLO V3 P Pal, S Kundu, AK Dhara Curr. Indian Eye Res. J. Ophthalmic Res. Group 7, 49, 2020 | 14 | 2020 |
| Content-based image retrieval system for pulmonary nodules using optimal feature sets and class membership-based retrieval SA Mehre, AK Dhara, M Garg, N Kalra, N Khandelwal, S Mukhopadhyay Journal of digital imaging 32, 362-385, 2019 | 14 | 2019 |
| Automatic detection and segmentation of optic disc using a modified convolution network S Maiti, D Maji, AK Dhara, G Sarkar Biomedical Signal Processing and Control 76, 103633, 2022 | 13 | 2022 |
| Topology-aware learning for volumetric cerebrovascular segmentation S Banerjee, D Toumpanakis, AK Dhara, J Wikström, R Strand 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022 | 13 | 2022 |
| An automated lung nodule detection system for CT images using synthetic minority oversampling SA Mehre, S Mukhopadhyay, A Dutta, NC Harsha, AK Dhara, ... Medical Imaging 2016: Computer-Aided Diagnosis 9785, 120-127, 2016 | 13 | 2016 |
| Detection of blood vessels in retinal fundus images F Oloumi, A Dhara, R Rangayyan, S Mukhopadhyay Computer Science Journal of Moldova 65 (2), 155-185, 2014 | 13 | 2014 |
| Measurement of spiculation index in 3D for solitary pulmonary nodules in volumetric lung CT images AK Dhara, S Mukhopadhyay, N Alam, N Khandelwal Medical Imaging 2013: Computer-Aided Diagnosis 8670, 134-139, 2013 | 13 | 2013 |
| Patient-specific fine-tuning of convolutional neural networks for follow-up lesion quantification MJA Jansen, HJ Kuijf, AK Dhara, NA Weaver, G Jan Biessels, R Strand, ... Journal of Medical Imaging 7 (6), 064003-064003, 2020 | 12 | 2020 |
| Segmentation of post-operative glioblastoma in MRI by U-Net with patient-specific interactive refinement AK Dhara, KR Ayyalasomayajula, E Arvids, M Fahlström, J Wikström, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 12 | 2019 |
Sudipta MukhopadhyayProfessor of Electronics and ECE, IIT Kharagpur在 ece.iitkgp.ac.in 的电子邮件经过验证
