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Hritam Basak
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2020 – today
- 2024
- [c10]Hritam Basak, Zhaozheng Yin:
Forget More to Learn More: Domain-Specific Feature Unlearning for Semi-supervised and Unsupervised Domain Adaptation. ECCV (38) 2024: 130-148 - [c9]Hritam Basak, Zhaozheng Yin:
Quest for Clone: Test-Time Domain Adaptation for Medical Image Segmentation by Searching the Closest Clone in Latent Space. MICCAI (8) 2024: 555-566 - 2023
- [c8]Hritam Basak, Zhaozheng Yin:
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation. CVPR 2023: 19786-19797 - [c7]Hritam Basak, Soumitri Chattopadhyay, Rohit Kundu, Sayan Nag, Rammohan Mallipeddi:
Ideal: Improved Dense Local Contrastive Learning For Semi-Supervised Medical Image Segmentation. ICASSP 2023: 1-5 - [c6]Hritam Basak, Zhaozheng Yin:
Semi-supervised Domain Adaptive Medical Image Segmentation Through Consistency Regularized Disentangled Contrastive Learning. MICCAI (4) 2023: 260-270 - [i13]Rukhshanda Hussain, Hritam Basak:
UT-Net: Combining U-Net and Transformer for Joint Optic Disc and Cup Segmentation and Glaucoma Detection. CoRR abs/2303.04939 (2023) - [i12]Hritam Basak, Zhaozheng Yin:
Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning. CoRR abs/2307.02798 (2023) - 2022
- [j3]Hritam Basak, Rohit Kundu, Ram Sarkar:
MFSNet: A multi focus segmentation network for skin lesion segmentation. Pattern Recognit. 128: 108673 (2022) - [c5]Hritam Basak, Rajarshi Bhattacharya, Rukhshanda Hussain, Agniv Chatterjee:
An Exceedingly Simple Consistency Regularization Method For Semi-Supervised Medical Image Segmentation. ISBI 2022: 1-4 - [c4]Hritam Basak, Sagnik Ghosal, Ram Sarkar:
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI. MICCAI (8) 2022: 224-233 - [i11]Hritam Basak, Rajarshi Bhattacharya, Rukhshanda Hussain, Agniv Chatterjee:
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation. CoRR abs/2202.00677 (2022) - [i10]Hritam Basak, Rohit Kundu, Ram Sarkar:
MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation. CoRR abs/2203.14341 (2022) - [i9]Hritam Basak, Sagnik Ghosal, Ram Sarkar:
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI. CoRR abs/2209.00123 (2022) - [i8]Hritam Basak, Soumitri Chattopadhyay, Rohit Kundu, Sayan Nag, Rammohan Mallipeddi:
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation. CoRR abs/2210.15075 (2022) - 2021
- [j2]Hritam Basak, Rohit Kundu, Sukanta Chakraborty, Nibaran Das:
Cervical Cytology Classification Using PCA and GWO Enhanced Deep Features Selection. SN Comput. Sci. 2(5): 369 (2021) - [j1]Hritam Basak, Rukhshanda Hussain, Ajay Rana:
DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation. SN Comput. Sci. 2(6): 435 (2021) - [c3]Hritam Basak, Mayukhmali Das, Susmita Modak:
RSO: A Novel Reinforced Swarm Optimization Algorithm for Feature Selection. EUROCON 2021: 203-208 - [i7]Hritam Basak, Rukhshanda Hussain, Ajay Rana:
DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation. CoRR abs/2105.07962 (2021) - [i6]Hritam Basak, Rohit Kundu, Sukanta Chakraborty, Nibaran Das:
Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection. CoRR abs/2106.04919 (2021) - [i5]Hritam Basak, Mayukhmali Das, Susmita Modak:
RSO: A Novel Reinforced Swarm Optimization Algorithm for Feature Selection. CoRR abs/2107.14199 (2021) - [i4]Rohit Kundu, Hritam Basak, Akhil Koilada, Soham Chattopadhyay, Sukanta Chakraborty, Nibaran Das:
Ensemble of CNN classifiers using Sugeno Fuzzy Integral Technique for Cervical Cytology Image Classification. CoRR abs/2108.09460 (2021) - [i3]Hritam Basak, Alik Roy, Jeet Bandhu Lahiri, Sayantan Bose, Soumyadeep Patra:
SVM and ANN based Classification of EMG signals by using PCA and LDA. CoRR abs/2110.15279 (2021) - 2020
- [c2]Hritam Basak, Ajay Rana:
F-UNet: A Modified U-Net Architecture for Segmentation of Stroke Lesion. CVIP (1) 2020: 32-43 - [c1]Hritam Basak, Rohit Kundu, Anish Agarwal, Shreya Giri:
Single Image Super-Resolution using Residual Channel Attention Network. ICIIS 2020: 219-224 - [i2]Soham Chattopadhyay, Hritam Basak:
Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation. CoRR abs/2009.06911 (2020) - [i1]Soham Chattopadhyay, Arijit Dey, Hritam Basak:
Optimizing Speech Emotion Recognition using Manta-Ray Based Feature Selection. CoRR abs/2009.08909 (2020)
Coauthor Index
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