UBSegNet: Unified Biometric Region of Interest Segmentation Network. - Ranjeet Ranjan Jha; Daksh Thapar; Shreyas Malakarjun Patil; Aditya Nigam (ACPR, 2017)

IPSegNet : Deep Convolutional Neural Network Based Segmentation Framework for Iris and Pupil. - Shreyas Malakarjun Patil; Ranjeet Ranjan Jha; Aditya Nigam (SITIS, 2017)

BrainSegNet : A Segmentation Network for Human Brain Fiber Tractography Data into Anatomically Meaningful Clusters. - Tushar Gupta; Shreyas Malakarjun Patil; Mukkaram Tailor; Daksh Thapar; Aditya Nigam (CoRR, 2017)

Siamese LSTM based Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation. - Shreyas Malakarjun Patil; Aditya Nigam; Arnav Bhavsar; Chiranjoy Chattopadhyay (CoRR, 2017)

A Multi-task Framework for Skin Lesion Detection and Segmentation. - Sulaiman Vesal; Shreyas Malakarjun Patil; Nishant Ravikumar; Andreas K. Maier (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

FS2Net: Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation Using Stacked LSTM Based Siamese Network. - Ranjeet Ranjan Jha; Shreyas Malakarjun Patil; Aditya Nigam; Arnav Bhavsar (CAIP (2), 2019)

HFDSegNet: Holistic and Generalized Finger Dorsal ROI Segmentation Network. - Gaurav Jaswal; Shreyas Malakarjun Patil; Kamlesh Tiwari; Aditya Nigam (ICPRAM, 2019)

Generating Region of Interests for Invasive Breast Cancer in Histopathological Whole-Slide-Image. - Shreyas Malakarjun Patil; Li Tong 001; May D. Wang (COMPSAC, 2020)

PHEW: Paths with higher edge-weights give "winning tickets" without training data. - Shreyas Malakarjun Patil; Constantine Dovrolis (CoRR, 2020)

PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data. - Shreyas Malakarjun Patil; Constantine Dovrolis (ICML, 2021)

Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis. - Shreyas Malakarjun Patil; Loizos Michael; Constantine Dovrolis (NeurIPS, 2023)

Neural Sculpting: Uncovering hierarchically modular task structure through pruning and network analysis. - Shreyas Malakarjun Patil; Loizos Michael; Constantine Dovrolis (CoRR, 2023)

Leveraging sparsity in deep neural networks for training efficiency, interpretability and generalization. - Shreyas Malakarjun Patil (2025)