Abhi Lad - researchr alias

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Viewing Publication 1 - 5 from 5

2022

Improving wheat head detection: a data-centric approach by domain variance reductionAbhi Lad, Mehul S. Raval. SAC 2022: 1140-1143 [doi]

Towards a device-independent deep learning approach for the automated segmentation of sonographic fetal brain structures: a multi-center and multi-device validationAbhi Lad, Adithya Narayan, Hari Shankar, Shefali Jain, Pooja Punjani Vyas, Divya Singh, Nivedita Hegde, Jagruthi Atada, Jens Thang, Saw Shier Nee, Arunkumar Govindarajan, Roopa PS, Muralidhar V. Pai, Akhila Vasudeva, Prathima Radhakrishnan, Sripad Krishna Devalla. micad 2022: [doi]

Leveraging Clinically Relevant Biometric Constraints to Supervise a Deep Learning Model for the Accurate Caliper Placement to Obtain Sonographic Measurements of the Fetal BrainHari Shankar, Adithya Narayan, Shefali Jain, Divya Singh, P. Vyas, Nivedita Hegde, J. P. Kar, Abhi Lad, Jens Thang, Jagruthi Atada, D. Nguyen, Roopa PS, Akhila Vasudeva, Prathima Radhakrishnan, Sripad Krishna Devalla. isbi 2022: 1-5 [doi]

2021

Kidney and Kidney Tumor Segmentation Using Spatial and Channel Attention Enhanced U-NetSajan Gohil, Abhi Lad. miccai 2022: 151-157 [doi]

Perceptual Variation Stacking: Test Time Augmentations in Endoscopy Image SegmentationAbhi Lad, Swara Jani, Hiral Madhani, Soumya Soumya, Yash Solanki. ivcnz 2021: 1-6 [doi]

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