A New GVF Arrow Pattern for Character Segmentation from Double Line License Plate Images. - Palaiahnakote Shivakumara; Aishik Konwer; Abir Bhowmick; Vijeta Khare; Umapada Pal 001; Tong Lu (ACPR, 2017)

Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network. - Ayan Kumar Bhunia; Abir Bhowmick; Ankan Kumar Bhunia; Aishik Konwer; Prithaj Banerjee; Partha Pratim Roy 001; Umapada Pal 001 (ICPR, 2018)

Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks. - Ankan Kumar Bhunia; Ayan Kumar Bhunia; Prithaj Banerjee; Aishik Konwer; Abir Bhowmick; Partha Pratim Roy 001; Umapada Pal 001 (ICPR, 2018)

Staff line Removal using Generative Adversarial Networks. - Aishik Konwer; Ayan Kumar Bhunia; Abir Bhowmick; Ankan Kumar Bhunia; Prithaj Banerjee; Partha Pratim Roy 001; Umapada Pal 001 (ICPR, 2018)

Script Identification in Natural Scene Image and Video Frame using Attention based Convolutional-LSTM Network. - Ankan Kumar Bhunia; Aishik Konwer; Abir Bhowmick; Ayan Kumar Bhunia; Partha Pratim Roy 001; Umapada Pal 001 (CoRR, 2018)

Facial Micro-expression Spotting and Recognition Using Time Contrasted Feature with Visual Memory. - Sauradip Nag; Ayan Kumar Bhunia; Aishik Konwer; Partha Pratim Roy 001 (ICASSP, 2019)

Script identification in natural scene image and video frames using an attention based Convolutional-LSTM network. - Ankan Kumar Bhunia; Aishik Konwer; Ayan Kumar Bhunia; Abir Bhowmick; Partha Pratim Roy 001; Umapada Pal 001 (Pattern Recognit., 2019)

Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. - Aishik Konwer; Joseph Bae; Gagandeep Singh; Rishabh Gattu; Syed Ali; Jeremy Green; Tej Phatak; Prateek Prasanna (MICCAI (5), 2021)

Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network. - Aishik Konwer; Joseph Bae; Gagandeep Singh; Rishabh Gattu; Syed Ali; Jeremy Green; Tej Phatak; Amit Gupta; Chao Chen 012; Joel H. Saltz; Prateek Prasanna (MIDL, 2021)

Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations. - Aishik Konwer; Xuan Xu; Joseph Bae; Chao Chen 012; Prateek Prasanna (CVPR, 2022)

Clinical outcome prediction in COVID-19 using self-supervised vision transformer representations. - Aishik Konwer; Prateek Prasanna (Computer-Aided Diagnosis, 2022)

Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation. - Aishik Konwer; Xiaoling Hu 002; Joseph Bae; Xuan Xu; Chao Chen 012; Prateek Prasanna (ICCV, 2023)

MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities. - Aishik Konwer; Chao Chen 012; Prateek Prasanna (MLMI@MICCAI (1), 2023)

MetaStain: Stain-Generalizable Meta-learning for Cell Segmentation and Classification with Limited Exemplars. - Aishik Konwer; Prateek Prasanna (MICCAI (4), 2024)

Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation. - Aishik Konwer; Zhijian Yang; Erhan Bas; Cao Xiao; Prateek Prasanna; Parminder Bhatia; Taha A. Kass-Hout (CVPR, 2025)