Publications

9 peer-reviewed papers in IEEE, Elsevier and Springer venues — spanning brain tumor classification, 3D segmentation, Alzheimer's detection and sleep apnea analysis.

J3

Predicting Genetic Markers for Brain Tumors Using a Composite Loss

A. De, A. Santra, M. Tiwari and A. S. Chowdhury, "Predicting Genetic Markers for Brain Tumors Using a Composite Loss," in IEEE Transactions on Computational Biology and Bioinformatics (TCBB), vol. 22, no. 6, pp. 2465–2476, Nov.–Dec. 2025.
DOI: 10.1109/TCBBIO.2025.3593318

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C6

Shape Induced Multi-Class Deep Graph Cut for Hippocampus Subfield Segmentation

A. De, and A. S. Chowdhury, "Shape Induced Multi-Class Deep Graph Cut for Hippocampus Subfield Segmentation," 27th International Conference on Pattern Recognition (ICPR), Kolkata, India, 2024.

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J2

MSO-GP: 3-D Segmentation of Large and Complex Conjoined Tree Structures

A. De, N. Das, et al., "MSO-GP: 3-D segmentation of large and complex conjoined tree structures," Methods, Vol. 229, pp. 9–16, September 2024.
DOI: 10.1016/j.ymeth.2024.05.016

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C5

Sleep Apnea Sub-type Detection from Polysomnography Signals

A. De, P. Ebenezer, "Sleep Apnea sub-type detection from Polysomnography signals," 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), Gwalior, India, 2024, pp. 1–6.
DOI: 10.1109/IATMSI60426.2024.10503128

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C4

3D Hippocampus Segmentation Using a HoG Based Loss Function with Majority Pooling

A. De, M. Tiwari and A. S. Chowdhury, "3D Hippocampus Segmentation using a HoG based Loss Function with Majority Pooling," 2023 30th International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023.

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C3

Brain Tumor Classification from Radiology and Histopathology Using Deep Features and Graph Convolutional Network

A. De, R. Mhatre, M. Tiwari and A. S. Chowdhury, "Brain Tumor Classification from Radiology and Histopathology using Deep Features and Graph Convolutional Network," 2022 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, 2022, pp. 4420–4426.
DOI: 10.1109/ICPR56361.2022.9956229

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C2

A Deep Graph Cut Model for 3D Brain Tumor Segmentation

A. De, M. Tiwari, E. Grisan, A. S. Chowdhury, "A Deep Graph Cut Model for 3D Brain Tumor Segmentation," 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022.
DOI: 10.1109/EMBC48229.2022.9871685

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J1

DTI Based Alzheimer's Disease Classification with Rank Modulated Fusion of CNNs and Random Forest

A. De, A. S. Chowdhury, "DTI based Alzheimer's Disease Classification with Rank Modulated Fusion of CNNs and Random Forest," Expert Systems with Applications, 169 (2021), 114338.
DOI: 10.1016/j.eswa.2020.114338

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C1

Design of Synthetic 3-D Pulmonary Phantoms Using 2-D Graphical User Interface

A. De, N. Das, R. Sarkar, P. K. Saha, S. Basu, "Design of Synthetic 3-D Pulmonary Phantoms Using 2-D Graphical User Interface," in Mandal J., Mukhopadhyay S., Dutta P., Dasgupta K. (eds) Computational Intelligence, Communications, and Business Analytics (CICBA) 2018. Communications in Computer and Information Science, vol. 1030. Springer, Singapore.
DOI: 10.1007/978-981-13-8578-0_17

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