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ORCID27th ICPR 2024: Kolkata, India - Part XII
- Apostolos Antonacopoulos
, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XII. Lecture Notes in Computer Science 15312, Springer 2025, ISBN 978-3-031-78197-1 - Santanu Roy, Archit Gupta, Shubhi Tiwari, Palak Sahu:
AD-Lite Net: A Lightweight and Concatenated CNN Model for Alzheimer's Detection from MRI Images. 1-16 - Ninad Aithal, Debanjali Bhattacharya, Neelam Sinha, Thomas Gregor Issac:
Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment. 17-32 - Yunrui Gu, Cong Kong, Zhaoxia Yin, Yan Wang, Qingli Li:
Medical Image Classification Attack Based on Texture Manipulation. 33-48 - Ge Yang, Linbo Qing, Yanteng Zhang, Feng Gao, Li Gao, Xiaohai He, Yonghong Peng:
An Attention Transformer-Based Method for the Modelling of Functional Connectivity and the Diagnosis of Autism Spectrum Disorder. 49-59 - Samiran Dey, Bijon Kundu, Partha Basuchowdhuri, Sanjoy Kumar Saha, Tapabrata Chakraborti:
A Fast Domain-Inspired Unsupervised Method to Compute COVID-19 Severity Scores from Lung CT. 60-74 - Eric Macias-Fassio, Aythami Morales, Cristina Pruenza, Julian Fiérrez:
Privacy-Preserving Tabular Data Generation: Application to Sepsis Detection. 75-89 - Gokaramaiah Thota, K. Nagaraju, Korra Sathya Babu:
SVD-Grad-CAM: Singular Value Decomposition filtered Gradient Weighted Class Activation Map. 90-105 - Patrick Weinberger, Bernhard Fröhler, Anja Heim, Alexander Gall, Ulrich Bodenhofer, Sascha Senck:
Applying Layer-Wise Relevance Propagation on U-Net Architectures. 106-121 - Sanidhya Kumar, Varun Vilvadrinath, Jignesh S. Bhatt, Ashish Phophalia:
Visualizing Dynamics of Federated Medical Models via Conversational Memory Elements. 122-137 - Payal Varshney, Adriano Lucieri, Christoph Balada, Andreas Dengel, Sheraz Ahmed:
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery. 138-153 - Rafael Sterzinger, Christian Stippel, Robert Sablatnig:
Fusing Forces: Deep-Human-Guided Refinement of Segmentation Masks. 154-169 - D. M. Bappy, Donghwa Kang, Jinkyu Lee, Youngmoon Lee, Minsuk Koo, Hyeongboo Baek:
Specular Region Detection and Covariant Feature Extraction. 170-186 - Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel:
Low-Rank Adaptation of Segment Anything Model for Surgical Scene Segmentation. 187-202 - Bowen Deng, Yang Hua, Wenjie Zhang, Xiaoning Song, Xiaojun Wu:
DRIVPocket: A Dual-stream Rotation Invariance in Feature Sampling and Voxel Fusion Approach for Protein Binding Site Prediction. 203-219 - Zhiwei Zhang, Yiqing Shen:
TotalCT-SAM: A Whole-Body CT Segment Anything Model with Memorizing Transformer. 220-234 - Nawara Mahmood Broti, Masaki Sawada, Yutaro Takayama, Keiya Iijima, Masaki Iwasaki, Yumie Ono:
Multi-modal Multitask Learning Model for Simultaneous Classification of Two Epilepsy Biomarkers. 235-250 - Asim Manna, Debdoot Sheet:
Learning Neural Networks for Multi-label Medical Image Retrieval Using Hamming Distance Fabricated with Jaccard Similarity Coefficient. 251-266 - S. P. Dhivyaa, Duy-Phuong Dao, Hyung-Jeong Yang, Jahae Kim:
Adaptive Cross-Modal Representation Learning for Heterogeneous Data Types in Alzheimer Disease Progression Prediction with Missing Time Point and Modalities. 267-282 - Susmita Ghosh, Swagatam Das:
Enhancing Medical Image Analysis with MA-DTNet: A Dual Task Network Guided by Morphological Attention. 283-300 - Mohamed Elsharkawy, Ibrahim Abdelhalim, Mohammed Ghazal, Mohammad Z. Haq, Rayan Haq, Ali Mahmoud, Harpal Singh Sandhu, Aristomenis Thanos, Ayman El-Baz:
TransNetOCT: An Efficient Transformer-Based Model for 3D-OCT Segmentation Using Prior Shape. 301-315 - Lisa Weijler, Michael Reiter, Pedro Hermosilla, Margarita Maurer-Granofszky, Michael N. Dworzak:
On the Importance of Local and Global Feature Learning for Automated Measurable Residual Disease Detection in Flow Cytometry Data. 316-331 - Snigdha Agarwal, Neelam Sinha:
Self-supervised Siamese Network Using Vision Transformer for Depth Estimation in Endoscopic Surgeries. 332-344 - Afifa Khaled, Ahmed Elazab:
Enhanced 3D Dense U-Net with Two Independent Teachers for Infant Brain Image Segmentation. 345-359 - Azad Singh, Deepak Mishra:
IDQCE: Instance Discrimination Learning Through Quantized Contextual Embeddings for Medical Images. 360-375 - Somayeh Rezaei, Xiaoyi Jiang:
Superpixel-Based Sparse Labeling for Efficient and Certain Medical Image Annotation. 376-390 - Pratik Sinha, Arif Ahmed Sekh:
Attention Seekers U-Net with Mamba for Sub-cellular Segmentation. 391-407 - Guowen Wang, Silei Wang, Lu Wang, Congbo Cai, Shuhui Cai, Zhong Chen:
Cross-Domain Multi-contrast MR Image Synthesis via Generative Adversarial Network. 408-421 - Hongyu Cheng, Limin Zheng, Zeyu Yan, Haoran Zhang, Bo Meng, Xiaowei Xu:
Fusion of Machine Learning and Deep Neural Networks for Pulmonary Arteries and Veins Segmentation in Lung Cancer Surgery Planning. 422-438 - Abhijit Das, Vandan Gorade, Dwarikanath Mahapatra, Sudipta Roy:
SEANet: Rethinking Skip-Connections Design in Encoder-Decoder Networks via Synergistic Spatial-Spectral Fusion for LDCT Denoising. 439-454 - Akshat Rampuria, Kushagra Khare, Ayush Soni, Debi Prosad Dogra:
Extracting Vitals from ICU Monitor Images: An Insight from Analysis of 10K Patient Data. 455-471
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last updated on 2025-01-31 22:53 CET by the dblp team
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