Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Patil Shubham"'
We propose a straightforward yet highly effective few-shot fine-tuning strategy for adapting the Segment Anything (SAM) to anatomical segmentation tasks in medical images. Our novel approach revolves around reformulating the mask decoder within SAM,
Externí odkaz:
http://arxiv.org/abs/2407.04651
Autor:
Chen, Li, Rubin, Jonathan, Ouyang, Jiahong, Balaraju, Naveen, Patil, Shubham, Mehanian, Courosh, Kulhare, Sourabh, Millin, Rachel, Gregory, Kenton W, Gregory, Cynthia R, Zhu, Meihua, Kessler, David O, Malia, Laurie, Dessie, Almaz, Rabiner, Joni, Coneybeare, Di, Shopsin, Bo, Hersh, Andrew, Madar, Cristian, Shupp, Jeffrey, Johnson, Laura S, Avila, Jacob, Dwyer, Kristin, Weimersheimer, Peter, Raju, Balasundar, Kruecker, Jochen, Chen, Alvin
Self-supervised learning (SSL) methods have shown promise for medical imaging applications by learning meaningful visual representations, even when the amount of labeled data is limited. Here, we extend state-of-the-art contrastive learning SSL metho
Externí odkaz:
http://arxiv.org/abs/2310.10689
Autor:
Ouyang, Jiahong, Chen, Li, Li, Gary Y., Balaraju, Naveen, Patil, Shubham, Mehanian, Courosh, Kulhare, Sourabh, Millin, Rachel, Gregory, Kenton W., Gregory, Cynthia R., Zhu, Meihua, Kessler, David O., Malia, Laurie, Dessie, Almaz, Rabiner, Joni, Coneybeare, Di, Shopsin, Bo, Hersh, Andrew, Madar, Cristian, Shupp, Jeffrey, Johnson, Laura S., Avila, Jacob, Dwyer, Kristin, Weimersheimer, Peter, Raju, Balasundar, Kruecker, Jochen, Chen, Alvin
Frame-by-frame annotation of bounding boxes by clinical experts is often required to train fully supervised object detection models on medical video data. We propose a method for improving object detection in medical videos through weak supervision f
Externí odkaz:
http://arxiv.org/abs/2308.04463
Autor:
Patil, Shubham, Sharma, Anand, R, Gaurav, Kadam, Abhishek, Singh, Ajay Kumar, Lashkare, Sandip, Mohapatra, Nihar Ranjan, Ganguly, Udayan
Compact and energy-efficient Synapse and Neurons are essential to realize the full potential of neuromorphic computing. In addition, a low variability is indeed needed for neurons in Deep neural networks for higher accuracy. Further, process (P), vol
Externí odkaz:
http://arxiv.org/abs/2306.11640
Autor:
Ali, Md Hanif, Pandey, Adityanarayan, Srinu, Rowtu, Meihar, Paritosh, Patil, Shubham, Lashkare, Sandip, Ganguly, Udayan
Ferroelectricity in sputtered undoped-HfO$_2$ is attractive for composition control for low power and non-volatile memory and logic applications. Unlike doped HfO$_2$, evolution of ferroelectricity with annealing and film thickness effect in sputter
Externí odkaz:
http://arxiv.org/abs/2304.12924
Autor:
Patil, Shubham, Sakhuja, Jayatika, Singh, Ajay Kumar, Biswas, Anmol, Saraswat, Vivek, Kumar, Sandeep, Lashkare, Sandip, Ganguly, Udayan
Energy-efficient real-time synapses and neurons are essential to enable large-scale neuromorphic computing. In this paper, we propose and demonstrate the Schottky-Barrier MOSFET-based ultra-low power voltage-controlled current source to enable real-t
Externí odkaz:
http://arxiv.org/abs/2304.08504
State estimation of oncoming vehicles: Earlier research has been based on determining states like position, velocity, orientation , angular velocity, etc of ego-vehicle. Our approach focuses on estimating the states of non-ego vehicles which is cruci
Externí odkaz:
http://arxiv.org/abs/2304.01396
Autor:
Patil, Shubham Bajirao1, Dandagi, Panchakshari1, Hulyalkar, Sujay1 hulyalkar5@gmail.com, Nadaf, Rubeen Dadakalandar2
Publikováno v:
Journal of Applied Pharmaceutical Science. Nov2024, Vol. 14 Issue 11, p233-242. 10p.
Autor:
Patil, Shubham S., Khandare, Aniket C., Khillare, Buddhabhushan S., Kagne, Pragati R., Narwade, Vijaykiran N., Hianik, Tibor, Shirsat, Mahendra D.
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 20 November 2024 703 Part 1
Autor:
Saurabh, Nishant, Patil, Shubham, Meihar, Paritosh, Kumar, Sandeep, Sharma, Anand, Kamaliya, BhaveshKumar, Mote, Rakesh G., Lashkare, Sandip, Laha, Apurba, Deshpande, Veeresh, Ganguly, Udayan
Publikováno v:
In Thin Solid Films 15 November 2024 808